Automatically monitor the evolving performance of Flask/Python web services.

Last update: Dec 29, 2022

Overview

Flask Monitoring Dashboard

A dashboard for automatic monitoring of Flask web-services.

Key Features • How to use • Live Demo • Feedback • Documentation • Screenshots • License

Key Features

The Flask Monitoring Dashboard is an extension for Flask applications that offers four main functionalities with little effort from the Flask developer:

Monitor the performance and utilization: The Dashboard allows you to see which endpoints process a lot of requests and how fast. Additionally, it provides information about the evolving performance of an endpoint throughout different versions if you're using git.
Profile requests and endpoints: The execution path of every request is tracked and stored into the database. This allows you to gain insight over which functions in your code take the most time to execute. Since all requests for an endpoint are also merged together, the Dashboard provides an overview of which functions are used in which endpoint.
Collect extra information about outliers: Outliers are requests that take much longer to process than regular requests. The Dashboard automatically detects that a request is an outlier and stores extra information about it (stack trace, request values, Request headers, Request environment).
Collect additional information about your Flask-application: Suppose you have an User-table and you want to know how many users are registered on your Flask-application. Then, you can run the following query: 'SELECT Count(*) FROM USERS;'. But this is just annoying to do regularly. Therefore, you can configure this in the Flask-MonitoringDashboard, which will provide you this information per day (or other time interval).

The dashboard is automatically added to your existing Flask application. You can view the results by default using the default endpoint (this can be configured to another route):

/dashboard

For more advanced documentation, take a look at the information on this site.

How to use

Installation

To install from source, download the source code, then run this:

python setup.py install

Or install with pip:

pip install flask_monitoringdashboard

Setup

Adding the extension to your Flask app is simple:

from flask import Flask
import flask_monitoringdashboard as dashboard

app = Flask(__name__)
dashboard.bind(app)

Live Demo

To view a live deployment of the Flask-MonitoringDashboard, check this site. Use the credentials u:admin, p:admin to log in.

Feedback

In order to improve our Flask-MonitoringDashboard, we would like to hear from you! Therefore, we made a questionnaire with a few questions. Filling in this form takes less than 3 minutes. You can find the form here.

Alternatively, feel free to write to our email-address.

Documentation

For more advanced documentation, see this site. If you run into trouble migrating from version 1.X.X to version 2.0.0, this site will help you solve this too.

Screenshots

Development

If you like our project, and willing to contribute, you can get started by cloning it and then running the following command:

. ./config/install.sh

For more information, check this page.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Comments

exception in outlier.py

[Mon Mar 05 12:19:53.260897 2018] [wsgi:error] [pid 7790:tid 140474868172544] Exception occurred:
[Mon Mar 05 12:19:53.263324 2018] [wsgi:error] [pid 7790:tid 140474868172544] Traceback (most recent call last):
[Mon Mar 05 12:19:53.263386 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/site-packages/flask_monitoring_dashboard-1.9-py3.6.egg/dashboard/outlier.py", line 40, in log_stack_trace
[Mon Mar 05 12:19:53.263397 2018] [wsgi:error] [pid 7790:tid 140474868172544]     stack_list.extend(['', str(th)])
[Mon Mar 05 12:19:53.263415 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 819, in __repr__
[Mon Mar 05 12:19:53.263424 2018] [wsgi:error] [pid 7790:tid 140474868172544]     self.is_alive() # easy way to get ._is_stopped set when appropriate
[Mon Mar 05 12:19:53.263446 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 1115, in is_alive
[Mon Mar 05 12:19:53.264237 2018] [wsgi:error] [pid 7790:tid 140474868172544]     self._wait_for_tstate_lock(False)
[Mon Mar 05 12:19:53.264462 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 1071, in _wait_for_tstate_lock
[Mon Mar 05 12:19:53.264471 2018] [wsgi:error] [pid 7790:tid 140474868172544]     assert self._is_stopped
[Mon Mar 05 12:19:53.264502 2018] [wsgi:error] [pid 7790:tid 140474868172544] AssertionError
[Mon Mar 05 12:19:53.264656 2018] [wsgi:error] [pid 7790:tid 140474868172544] Exception occurred:
[Mon Mar 05 12:19:53.264769 2018] [wsgi:error] [pid 7790:tid 140474868172544] Traceback (most recent call last):
[Mon Mar 05 12:19:53.264818 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/site-packages/flask_monitoring_dashboard-1.9-py3.6.egg/dashboard/outlier.py", line 40, in log_stack_trace
[Mon Mar 05 12:19:53.265607 2018] [wsgi:error] [pid 7790:tid 140474868172544]     stack_list.extend(['', str(th)])
[Mon Mar 05 12:19:53.265629 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 819, in __repr__
[Mon Mar 05 12:19:53.265638 2018] [wsgi:error] [pid 7790:tid 140474868172544]     self.is_alive() # easy way to get ._is_stopped set when appropriate
[Mon Mar 05 12:19:53.265654 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 1115, in is_alive
[Mon Mar 05 12:19:53.265662 2018] [wsgi:error] [pid 7790:tid 140474868172544]     self._wait_for_tstate_lock(False)
[Mon Mar 05 12:19:53.265678 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 1071, in _wait_for_tstate_lock
[Mon Mar 05 12:19:53.265686 2018] [wsgi:error] [pid 7790:tid 140474868172544]     assert self._is_stopped
[Mon Mar 05 12:19:53.265711 2018] [wsgi:error] [pid 7790:tid 140474868172544] AssertionError
[Mon Mar 05 12:19:53.265832 2018] [wsgi:error] [pid 7790:tid 140474868172544] Exception occurred:
[Mon Mar 05 12:19:53.265932 2018] [wsgi:error] [pid 7790:tid 140474868172544] Traceback (most recent call last):
[Mon Mar 05 12:19:53.265990 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/site-packages/flask_monitoring_dashboard-1.9-py3.6.egg/dashboard/outlier.py", line 40, in log_stack_trace
[Mon Mar 05 12:19:53.265999 2018] [wsgi:error] [pid 7790:tid 140474868172544]     stack_list.extend(['', str(th)])
[Mon Mar 05 12:19:53.266016 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 819, in __repr__
[Mon Mar 05 12:19:53.266024 2018] [wsgi:error] [pid 7790:tid 140474868172544]     self.is_alive() # easy way to get ._is_stopped set when appropriate
[Mon Mar 05 12:19:53.266040 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 1115, in is_alive
[Mon Mar 05 12:19:53.266048 2018] [wsgi:error] [pid 7790:tid 140474868172544]     self._wait_for_tstate_lock(False)
[Mon Mar 05 12:19:53.266063 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 1071, in _wait_for_tstate_lock
[Mon Mar 05 12:19:53.266071 2018] [wsgi:error] [pid 7790:tid 140474868172544]     assert self._is_stopped
[Mon Mar 05 12:19:53.266095 2018] [wsgi:error] [pid 7790:tid 140474868172544] AssertionError
[Mon Mar 05 12:19:53.266213 2018] [wsgi:error] [pid 7790:tid 140474868172544] Exception occurred:
[Mon Mar 05 12:19:53.266313 2018] [wsgi:error] [pid 7790:tid 140474868172544] Traceback (most recent call last):
[Mon Mar 05 12:19:53.266361 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/site-packages/flask_monitoring_dashboard-1.9-py3.6.egg/dashboard/outlier.py", line 40, in log_stack_trace
[Mon Mar 05 12:19:53.266370 2018] [wsgi:error] [pid 7790:tid 140474868172544]     stack_list.extend(['', str(th)])
[Mon Mar 05 12:19:53.266386 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 819, in __repr__
[Mon Mar 05 12:19:53.266394 2018] [wsgi:error] [pid 7790:tid 140474868172544]     self.is_alive() # easy way to get ._is_stopped set when appropriate
[Mon Mar 05 12:19:53.266410 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 1115, in is_alive
[Mon Mar 05 12:19:53.266418 2018] [wsgi:error] [pid 7790:tid 140474868172544]     self._wait_for_tstate_lock(False)
[Mon Mar 05 12:19:53.266434 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 1071, in _wait_for_tstate_lock
[Mon Mar 05 12:19:53.266442 2018] [wsgi:error] [pid 7790:tid 140474868172544]     assert self._is_stopped
[Mon Mar 05 12:19:53.266466 2018] [wsgi:error] [pid 7790:tid 140474868172544] AssertionError
[Mon Mar 05 12:19:53.266584 2018] [wsgi:error] [pid 7790:tid 140474868172544] Exception occurred:
[Mon Mar 05 12:19:53.266684 2018] [wsgi:error] [pid 7790:tid 140474868172544] Traceback (most recent call last):
[Mon Mar 05 12:19:53.266730 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/site-packages/flask_monitoring_dashboard-1.9-py3.6.egg/dashboard/outlier.py", line 40, in log_stack_trace
[Mon Mar 05 12:19:53.266739 2018] [wsgi:error] [pid 7790:tid 140474868172544]     stack_list.extend(['', str(th)])
[Mon Mar 05 12:19:53.266756 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 819, in __repr__
[Mon Mar 05 12:19:53.266764 2018] [wsgi:error] [pid 7790:tid 140474868172544]     self.is_alive() # easy way to get ._is_stopped set when appropriate
[Mon Mar 05 12:19:53.266780 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 1115, in is_alive
[Mon Mar 05 12:19:53.266788 2018] [wsgi:error] [pid 7790:tid 140474868172544]     self._wait_for_tstate_lock(False)
[Mon Mar 05 12:19:53.266804 2018] [wsgi:error] [pid 7790:tid 140474868172544]   File "/usr/local/lib/python3.6/threading.py", line 1071, in _wait_for_tstate_lock
[Mon Mar 05 12:19:53.266812 2018] [wsgi:error] [pid 7790:tid 140474868172544]     assert self._is_stopped
[Mon Mar 05 12:19:53.266843 2018] [wsgi:error] [pid 7790:tid 140474868172544] AssertionError

opened by mircealungu 12

Request param logs

If enable_param_logging enabled(set True) in config, for monitoring level 3, request arguments and payload would be available at indent 2 in profiler.

This also includes the sort anchor tags on pagination for profiler.

Note: This is to be merged after my previous PR, that includes sorting.

opened by jangster3794 10
Mongodb support

Hello, I really enjoy this lib and this tool and I would like to be able to use it with MongoDB as it is too much for me to have two databases technology. Let me know!

opened by Amedeo91 9
Tracking of status codes.
Hi :)

Here's my (draft) implementation for tracking status codes.

Request has an extra field status_code.

The status code is determined by looking at the return value of fun() in measurement.py.

On the endpoint page it shows the distribution of the status code:

4. On the overview page it shows the number of requests that returned a 4xx or 5xx error:
It's a draft because I have a few things that I need some help on:

The status code distribution page is on /dashboard/endpoint/1/status_code_distribution. How do I retrieve the value 1? On other pages I saw it was done with endpointService.info.id but this value is 0 for me. Right now I temporarily solved it with a regex... :))

How do I make the menu to the left stay expanded on the status code page?

How would this work with migrating? A change to the DB is needed to add the status_code field. Should I write a migration file? Where should it go? Are there any examples from the past?

In the docs I read about the separation between data/logic/presentation layer. Let me know if I violated that :)

Of course any other feedback is also welcome. I will process the feedback, make sure the code is well documented and then resubmit a PR!
opened by dejagersh 9
Feature/micro service support

Basically I wanted the ability to not need scipy or the UI stuff so I could have a lightweight package to put on microservices.

I added a setup_micro.py that only takes what I think we need - as well as flush_cache on teardown. The requirements are also truncated.

opened by Qblack 8
Modernise the frontend
Hey guys,

I was working a bit on my webpack skills and thought FMD could really make use of this. So I rewrote the frontend so it makes use of one javascript file that imports all its required files. Webpack bundles this file into 1 minified file

Why?

Shortened load times. Because of tree shaking and minification the total amount of assets is now almost half of what it was.

No issues with order of imports.

Can use modern JS features without having to worry about compatibility with old browsers. Babel takes care of this.

Proper package management. Easy updates, no risk of installing incompatible versions of packages.

Sass!
opened by dejagersh 8
Migrate db

Migration script for moving the database from SQLite to MySQL. In theory, it should work between any two databases supported by SQLAlchemy, but I haven't tested it.

opened by bogdanp05 8
more precise structural summarization instead of NLP
@bogdanp05 , one idea that we should think about is the following:

instead of summarizing stuff with NLP maybe we can take inspiration from the python profiler, which has the same task to achieve as the one we have: summarize multiple stack traces.

the profiler, afaik, wakes up multiple times, observes the stack trace, and then it summarizes everything at the end with a view like the following one:

maybe we could do something similar, since after all, we also have a bunch of stack traces that we want to summarize!

surely, the profiler estimates time spent in a given method, and we must summarize the number of times the outlier was found being in that method, while calling from the previous method, but it should be a similar thing.

think about this, and let's discuss it the next time we meet!
opened by mircealungu 8
Development
Time for releasing version 3.1.0 to live. Short summary of the changes:

Added support for Python 3.8

Started using pytest instead of python's unittest

Started using Webpack for frontend packaging

Improved reports

Moved to Github Actions from Travis for CI/CD

Improved docstrings

Various bug fixes
opened by FlyingBird95 7
Error when running from Docker image
I have added flask-monitoringdashboard to my flask app. It runs great on my machine until I containerize it. I have a Dockerfile that uses an alpine base image. Everything installs and builds properly - but when I run the app I get this error:

ImportError: cannot import name 'config' from 'flask_monitoringdashboard' (/home/flask/venv/lib/python3.7/site-packages/flask_monitoringdashboard/__init__.py)

Has anyone seen this before or have any ideas? I don't understand why it would be able to import only when running in the container.
opened by ezeev 7
"UnicodeDecodeError" when pip install
Describe the bug when I try to use pip install Flask-MonitoringDashboard,it happened. File "C:...\flask-monitoringdashboard\setup.py", line 11, in get_description info = readme.read() UnicodeDecodeError: 'gbk' codec can't decode byte 0xa2 in position 1571: illegal multibyte sequence

Command "python setup.py egg_info" failed with error code 1 in C:...\pip-install-c4devic4\Flask-MonitoringDashboard\

To Reproduce Steps to reproduce the behavior: 1.pip install Flask-MonitoringDashboard 2. See error

or 1.Download the source 2. Add ".encode("utf-8")" after "readme.read()" 3.See error

Expected behavior I want to install this.

Screenshots

Desktop (please complete the following information):

OS: [windows 10 professional]

Additional context so I know it is an UnicodeDecodeError,but I cannot deal with it,thanks so much!
opened by curiositer 7
Bump qs from 6.5.2 to 6.5.3 in /flask_monitoringdashboard/frontend
Bumps qs from 6.5.2 to 6.5.3.

Changelog

Sourced from qs's changelog.

6.5.3

[Fix] parse: ignore __proto__ keys (#428)

[Fix] utils.merge: avoid a crash with a null target and a truthy non-array source

[Fix] correctly parse nested arrays

[Fix] stringify: fix a crash with strictNullHandling and a custom filter/serializeDate (#279)

[Fix] utils: merge: fix crash when source is a truthy primitive & no options are provided

[Fix] when parseArrays is false, properly handle keys ending in []

[Fix] fix for an impossible situation: when the formatter is called with a non-string value

[Fix] utils.merge: avoid a crash with a null target and an array source

[Refactor] utils: reduce observable [[Get]]s

[Refactor] use cached Array.isArray

[Refactor] stringify: Avoid arr = arr.concat(...), push to the existing instance (#269)

[Refactor] parse: only need to reassign the var once

[Robustness] stringify: avoid relying on a global undefined (#427)

[readme] remove travis badge; add github actions/codecov badges; update URLs

[Docs] Clean up license text so it’s properly detected as BSD-3-Clause

[Docs] Clarify the need for "arrayLimit" option

[meta] fix README.md (#399)

[meta] add FUNDING.yml

[actions] backport actions from main

[Tests] always use String(x) over x.toString()

[Tests] remove nonexistent tape option

[Dev Deps] backport from main

Commits

298bfa5 v6.5.3

ed0f5dc [Fix] parse: ignore __proto__ keys (#428)

691e739 [Robustness] stringify: avoid relying on a global undefined (#427)

1072d57 [readme] remove travis badge; add github actions/codecov badges; update URLs

12ac1c4 [meta] fix README.md (#399)

0338716 [actions] backport actions from main

5639c20 Clean up license text so it’s properly detected as BSD-3-Clause

51b8a0b add FUNDING.yml

45f6759 [Fix] fix for an impossible situation: when the formatter is called with a no...

f814a7f [Dev Deps] backport from main

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dependencies javascript
opened by dependabot[bot] 0
Bump decode-uri-component from 0.2.0 to 0.2.2 in /flask_monitoringdashboard/frontend
Bumps decode-uri-component from 0.2.0 to 0.2.2.

Release notes

Sourced from decode-uri-component's releases.

v0.2.2

Prevent overwriting previously decoded tokens 980e0bf

https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.1...v0.2.2

v0.2.1

Switch to GitHub workflows 76abc93

Fix issue where decode throws - fixes #6 746ca5d

Update license (#1) 486d7e2

Tidelift tasks a650457

Meta tweaks 66e1c28

https://github.com/SamVerschueren/decode-uri-component/compare/v0.2.0...v0.2.1

Commits

a0eea46 0.2.2

980e0bf Prevent overwriting previously decoded tokens

3c8a373 0.2.1

76abc93 Switch to GitHub workflows

746ca5d Fix issue where decode throws - fixes #6

486d7e2 Update license (#1)

a650457 Tidelift tasks

66e1c28 Meta tweaks

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dependencies javascript
opened by dependabot[bot] 0
Bump loader-utils from 1.4.0 to 1.4.2 in /flask_monitoringdashboard/frontend
Bumps loader-utils from 1.4.0 to 1.4.2.

Release notes

Sourced from loader-utils's releases.

v1.4.2

1.4.2 (2022-11-11)

Bug Fixes

ReDoS problem (#226) (17cbf8f)

v1.4.1

1.4.1 (2022-11-07)

Bug Fixes

security problem (#220) (4504e34)

Changelog

Sourced from loader-utils's changelog.

1.4.2 (2022-11-11)

Bug Fixes

ReDoS problem (#226) (17cbf8f)

1.4.1 (2022-11-07)

Bug Fixes

security problem (#220) (4504e34)

Commits

331ad50 chore(release): 1.4.2

17cbf8f fix: ReDoS problem (#226)

8f082b3 chore(release): 1.4.1

4504e34 fix: security problem (#220)

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dependencies javascript
opened by dependabot[bot] 0
Scipy Dependency errors on Mac M1

Describe the bug Flask Monitoring dashboard(v3.1.1 >) requires scipy==1.6.1 and Mac M1 ARM has a bug which prevents scipy==1.6.1 installation. This bug has been resolved in scipy==1.7.3 onwards

Kindly update the scipy requirements for the same to 1.7.3 and up

opened by sd2001 2
Bump terser from 4.7.0 to 4.8.1 in /flask_monitoringdashboard/frontend
Bumps terser from 4.7.0 to 4.8.1.

Changelog

Sourced from terser's changelog.

v4.8.1 (backport)

Security fix for RegExps that should not be evaluated (regexp DDOS)

v4.8.0

Support for numeric separators (million = 1_000_000) was added.

Assigning properties to a class is now assumed to be pure.

Fixed bug where yield wasn't considered a valid property key in generators.

Commits

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dependencies javascript
opened by dependabot[bot] 0
Bump moment from 2.27.0 to 2.29.4 in /flask_monitoringdashboard/frontend
Bumps moment from 2.27.0 to 2.29.4.

Changelog

Sourced from moment's changelog.

2.29.4

Release Jul 6, 2022

#6015 [bugfix] Fix ReDoS in preprocessRFC2822 regex

2.29.3 Full changelog

Release Apr 17, 2022

#5995 [bugfix] Remove const usage

#5990 misc: fix advisory link

2.29.2 See full changelog

Release Apr 3 2022

Address https://github.com/moment/moment/security/advisories/GHSA-8hfj-j24r-96c4

2.29.1 See full changelog

Release Oct 6, 2020

Updated deprecation message, bugfix in hi locale

2.29.0 See full changelog

Release Sept 22, 2020

New locales (es-mx, bn-bd). Minor bugfixes and locale improvements. More tests. Moment is in maintenance mode. Read more at this link: https://momentjs.com/docs/#/-project-status/

2.28.0 See full changelog

Release Sept 13, 2020

Fix bug where .format() modifies original instance, and locale updates

Commits

000ac18 Build 2.24.4

f2006b6 Bump version to 2.24.4

536ad0c Update changelog for 2.29.4

9a3b589 [bugfix] Fix redos in preprocessRFC2822 regex (#6015)

6374fd8 Merge branch 'master' into develop

b4e6153 Revert "[bugfix] Fix redos in preprocessRFC2822 regex (#6015)"

7aebb16 [bugfix] Fix redos in preprocessRFC2822 regex (#6015)

57c9062 Build 2.29.3

aaf50b6 Fixup release complaints

26f4aef Bump version to 2.29.3

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dependencies javascript
opened by dependabot[bot] 0

Releases(v3.0.7)

v3.0.7(Feb 28, 2020)
Includes everything from v3.0.0 on

Added a first version of the Reporting functionality

Improved usability of the overview table

Removed profiler feature from monitoring level 2

Added outlier detection feature to monitoring level 3

Configurable profiler sampling period, with 5 ms default

Implemented an in-memory cache for performance improvements

Tracking also status codes

Display times as numbers to make them sortable

Add leading slash to blueprint paths

Added status codes with corresponding views

Source code(tar.gz)
Source code(zip)
v2.1.0(Feb 25, 2019)
Frontend is now using AngularJS

Removed TestMonitor

Added Custom graphs

Fixed Issue #206

Added support for Python 3.7

Updated documentation

Updated unit tests

Fixed Issue #174

Fixed issue with profiler not going into code

Implemented a Sunburst visualization of the Grouped Profiler

Improved test coverage

Improved python-doc

Added functionality to download the outlier data

Dropped support for Python 3.3 and 3.4

Source code(tar.gz)
Source code(zip)
v2.0.0(Jun 11, 2018)

Source code(tar.gz)
Source code(zip)
v1.13.0(May 11, 2018)

Source code(tar.gz)
Source code(zip)
v1.12.0(Apr 28, 2018)

Source code(tar.gz)
Source code(zip)
v1.11.0(Mar 29, 2018)

Source code(tar.gz)
Source code(zip)
v1.10.3(Feb 28, 2018)

Source code(tar.gz)
Source code(zip)

Owner

GitHub Repository http://flask-monitoringdashboard.readthedocs.io/

Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.

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normalize-profile This tool reads Apple's provisioning profile files and produces reproducible output perfect for diffing. You can easily integrate th

8 Oct 18, 2022

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Home Install Documentation Download Forum Blog Funding What's new Summary psutil (process and system utilities) is a cross-platform library for retrie

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300 Dec 26, 2022

Automatically monitor the evolving performance of Flask/Python web services.

Related tags

Overview

Flask Monitoring Dashboard

Key Features

How to use

Installation

Setup

Live Demo

Feedback

Documentation

Screenshots

Development

License

Comments

Describe the bug when I try to use pip install Flask-MonitoringDashboard,it happened. File "C:...\flask-monitoringdashboard\setup.py", line 11, in get_description info = readme.read() UnicodeDecodeError: 'gbk' codec can't decode byte 0xa2 in position 1571: illegal multibyte sequence

6.5.3

v0.2.2

v0.2.1

v1.4.2

1.4.2 (2022-11-11)

Bug Fixes

v1.4.1

1.4.1 (2022-11-07)

Bug Fixes

1.4.2 (2022-11-11)

Bug Fixes

1.4.1 (2022-11-07)

Bug Fixes

v4.8.1 (backport)

v4.8.0

2.29.4

2.29.3 Full changelog

2.29.2 See full changelog

2.29.1 See full changelog

2.29.0 See full changelog

2.28.0 See full changelog

Releases(v3.0.7)

v3.0.7(Feb 28, 2020)

v2.1.0(Feb 25, 2019)

v2.0.0(Jun 11, 2018)

v1.13.0(May 11, 2018)

v1.12.0(Apr 28, 2018)

v1.11.0(Mar 29, 2018)

v1.10.3(Feb 28, 2018)

Owner

Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.

Monitor Memory usage of Python code

pprofile + matplotlib = Python program profiled as an awesome heatmap!

Tracy Profiler module for the Godot Engine

Display machine state using Python3 with Flask.

System monitor - A python-based real-time system monitoring tool

Visual profiler for Python

Line-by-line profiling for Python

Output provisioning profiles in a diffable way

Cross-platform lib for process and system monitoring in Python

Sampling profiler for Python programs

Prometheus instrumentation library for Python applications

Linux/OSX/FreeBSD resource monitor

Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automatically use request headers such as x-request-id or x-correlation-id.

Scalene: a high-performance, high-precision CPU and memory profiler for Python

Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.

Prometheus exporter for Flask applications

Exports osu! user stats to prometheus metrics for a specified set of users

Yet Another Python Profiler, but this time thread&coroutine&greenlet aware.

ScoutAPM Python Agent. Supports Django, Flask, and many other frameworks.