Elementary is an open-source data reliability framework for modern data teams. The first module of the framework is data lineage.

Last update: Jan 09, 2023

Overview

Data lineage made simple, reliable, and automated.
Effortlessly track the flow of data, understand dependencies and analyze impact.

Features

Visualization: In browser visual representation of the data lineage graph.
DWH lineage: Effortlessly map data flow in the data warehouse.
Accuracy: Reflects the actual state in the DWH.
Plug-and-play: No need for code changes.

Coming soon:

Monitoring: Present data about freshness, volume and schema on the lineage graph.
Lineage history: Store data about lineage versions and changes.
Column level lineage: Add column-level granularity.
Full lineage: Integrate with downstream and upstream tools to create a full graph.

Quick start

pip install elementary-lineage

# The tool is named edl (Elementary Data Lineage),
# run it to validate the installation:
edl --help

Now we need a connection file in a simple YAML called profiles.yml. Here is a template to create a Snowflake connection profile.
For further instructions go to our quickstart page.

If you use dbt, you can start right away by running this command with the path to your profiles.yml and the relevant profile name:

edl -d ~/profiles_dir -p <profile_name>

If you like what we are building, support us with .

Documentation

Our full documentation is available here.

Community & Support

For additional information and help, you can use one of these channels:

Slack (live chat with the team, feature requests, community support, discussions, etc.)
📧 Contact us directly at [email protected]

Integrations

Snowflake
BigQuery
Redshift

Ask us for integrations on Slack or as a Github issue.

License

Elementary lineage is licensed under Apache License 2.0. See the LICENSE file for licensing information.

Comments

Snowflake Query_id

Is your feature request related to a problem? Please describe. When we get a dbt run failure, I often look through the debug logs to find the exact query which was run.. Also in case of data issues if we want to use snowflake time travel query id make it easier to go back

Describe the solution you'd like dbt run_results.json has snowflake query_id.. add this as part of elementary table dbt_run_results

Describe alternatives you've considered Right now, I look through the snowflake query history to find the sfqid, which works but is a bit tedious.

Additional context Add any other context or screenshots about the feature request here.
good first issue feature dbt package Open to contribution 🧡

opened by kkprab 11
How to use days back in report and anomaly detection tests?

We had two questions about this in #support on Slack recently. We need to add it to FAQ and see if there are other parts of the flow where we can better address this.
documentation good first issue

opened by Maayan-s 10
Support for hourly, weekly, monthly bucket size in anomaly tests

In anomaly detection, the default bucket size is 1 day. I couldn't find a way to configure the size of these buckets.

Checking the code here I think that it's not an easy fix, since it also depends on how the data is collected before this query is executed.

I would keep exploring, but perhaps you can guide me on what should be done to be able to do this.
enhancement

opened by rloredo 7
Parse failed rows as part of the package

Failed dbt test results return an error message that includes the number of failed rows. Today we load the message as is in the package, and parse the number in the CLI using Python. If we move the parsing to the package, users could run their analysis on these data.
enhancement dbt package

opened by Maayan-s 7
Integrate linage visualization with the report UI

Motivation

The report UI is awesome. When we find failures on a table, we would like to investigate affected downstream tables. So, it would be great to support the lineage feature in the report UI.
feature

opened by yu-iskw 7

[Question] How can we prepare `table_monitors_config`?

Overview

I tried to monitor dbt tests with jaffle_shopw by following the documentation. But, I was not able to upload artifacts due to the lack of the destination table. If I am correct, we have to create the table table_monitors_config a head. But, the documentation doesn't describes table_monitors_config. How can we prepare the table?

Environments

Python 3.8
dbt 1.0.3
elementary 0.3.2.

Error message

09:22:03  Running 2 on-run-end hooks
09:22:33  1 of 2 START hook: jaffle_shop.on-run-end.0..................................... [RUN]
09:22:33  1 of 2 OK hook: jaffle_shop.on-run-end.0........................................ [OK in 0.00s]
09:22:33  2 of 2 START hook: elementary.on-run-end.0...................................... [RUN]
09:22:33  2 of 2 OK hook: elementary.on-run-end.0......................................... [OK in 0.00s]
09:22:33
09:22:33
09:22:33  Finished running 8 view models, 9 incremental models, 2 table models, 3 seeds, 17 tests, 3 hooks in 44.13s.
09:22:33
09:22:33  Completed with 2 errors and 0 warnings:
09:22:33
09:22:33  Runtime Error in model filtered_information_schema_columns (models/edr/metadata_store/filtered_information_schema_columns.sql)
09:22:33    404 Not found: Table sandbox-project:jaffle_shop_elementary.table_monitors_config was not found in location asia-northeast1
09:22:33
09:22:33    (job ID: d0f16aa6-b33d-493f-b0d1-8b934a090682)
09:22:33
09:22:33  Runtime Error in model filtered_information_schema_tables (models/edr/metadata_store/filtered_information_schema_tables.sql)
09:22:33    404 Not found: Table sandbox-project:jaffle_shop_elementary.table_monitors_config was not found in location asia-northeast1
09:22:33
09:22:33    (job ID: 03fc0b75-262f-49f8-8957-96b55268e9ac)

opened by yu-iskw 7

Send report to a github page report

Is your feature request related to a problem? Please describe.

Sending reports through S3 is great but by default the s3 website will be publicly accessible. They are way to make it private but they seems pretty complex for a single page website.

Describe the solution you'd like

We could host the report on a github page repository, that would ease access control. The idea would be to push the html file to a github repository.
documentation good first issue Open to contribution 🧡

opened by courentin 6
support browser authentication method

Our dbt_runner expect the log messages of dbt run-operation to be in json format. However, browser authentication scenario returns log messages as string. So instead of failing on json parsing, I log the failure and the unsupported log message to our edr file. This is OK because run-operation log message should be in json format as expected, so if anything is returning as string it is currently OK to ignore it. And if something will break in the future, we will have the edr log to understand what happened and what we should change.

opened by IDoneShaveIt 6
Set "elementary_tests" schema to upper case

Hi,

I'm using elementary with Snowflake, where we have set all of our schemas as upper-case. However, in the elementary dbt package the "__tests" is hard-coded as lower-case resulting in a schema named "ELEMENTARY__tests".

Can you give the option of creating a var for this so we have the option of lower-case or upper-case suffix for "__tests".

(Raised this via slack here: https://elementary-community.slack.com/archives/C02CTC89LAX/p1660646926498189)

Thanks!
feature dbt package

opened by ltw94 6
Add "test alerting" on Slack

Slack alerts are only sent if there are failed tests. When users deploy Elementary, they want to have a way to validate the deployment worked. We should have a flag for validating the deployment.
enhancement good first issue in progress slack alerts Stale

opened by Maayan-s 6

On-end-run hook failing after updating package version

When running dbt test, I'm getting this error message:

12:36:04  Running 1 on-run-end hook
12:36:12  Elementary: Uploaded dbt artifacts successfully.
12:36:15  Elementary: Uploaded run results successfully.
12:36:19  Elementary: Handled test results successfully.
12:36:19  Database error while running on-run-end
12:36:19  Encountered an error:
Database Error
  value too long for type character varying(16384)

Here's the log file:

insert into "devdb"."my_schema_elementary"."dbt_invocations"(invocation_id,run_started_at,run_completed_at,generated_at,command,dbt_version,elementary_version,full_refresh,vars,selected_resources) values
    ('a1b44140-36b4-431a-b1a4-58c59506c2ed','2022-11-02 12:35:45','2022-11-02 12:36:19','2022-11-02 12:36:19','test','1.3.0','0.5.4',False,'{}','[ "a list with many elements" ]')
  
[0m12:36:19.363328 [debug] [MainThread]: Postgres adapter: Postgres error: value too long for type character varying(16384)

To Reproduce Steps to reproduce the behavior: Can't currently pin it down exactly. But I upgraded from dbt 1.2.1 and elementary 0.4.11 to dbt 1.3.0 and elementary 0.5.4. So maybe, elementary created the schema using character varying(16384) before and now tries to insert something longer than that (its 16643 characters).

Expected behavior No error.

Environment (please complete the following information):

edr:

Name: elementary-data
Version: 0.5.4

dbt:

Core:
  - installed: 1.3.0
  - latest:    1.3.0 - Up to date!

Plugins:
  - postgres: 1.3.0 - Up to date!
  - redshift: 1.3.0 - Up to date!

my dbt packages.yml:

packages:
  - package: dbt-labs/codegen # Auto create schemas and models
    version: 0.8.1
  - package: elementary-data/elementary
    version: 0.5.4
  - package: dbt-labs/dbt_utils
    version: 0.9.2

bug

opened by mc51 5

Alerts filters

Support filtering alerts using --select argument. In case project dir is provided, we use dbt ls command to filter the nodes. Otherwise we support manual filtering over tag / owner / model

opened by IDoneShaveIt 1
Add thread_id to dbt run results tables

In the run_results.json file there is a thread id. I Think this would be handy to use to find out the complete execution flow of the DAG: see which models run in parallel and where there might be a hick-up in performance if models have to wait for 1 model to complete
enhancement good first issue dbt package Open to contribution 🧡

opened by eliasgeee 5
[ELE-14] Apache Spark Integration

Is your feature request related to a problem? Please describe. Currently, Databricks is the only Spark supported adapter

Describe the solution you'd like Add support for the Apache Spark adapter

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

Additional context This would enable spark projects that are not using Databricks (e.g., EMR on EC2/EKS, etc.)

Would you be willing to contribute this feature? Probably not

_ELE-14
integration dbt package Open to contribution 🧡

opened by izzye84 3
Enable to select a node in the lineage view

Is your feature request related to a problem? Please describe. Thak you for the great product. We can select models, sources and exposures with the search bar on the lineage view. If there is a failed node, we want to quickly focus on it.

Describe the solution you'd like For instance, dbt-docs enables us to refocus on a node on the lineage view. I would like something like this on the lineage view of elementary.

Describe alternatives you've considered N/A

Additional context N/A

Would you be willing to contribute this feature? I would love to contribute.
help wanted feature

opened by yu-iskw 0
Show full model/source IDs on the lineage view

Is your feature request related to a problem? Please describe. I am using elementary 0.6.2. Models, sources and exposures IDs are trimmed on the lineage view. So, it would be difficult to identify them at a glance.

Describe the solution you'd like Personally, I would prefer showing full IDs on the lineage view, as dbt-docs shows.

Describe alternatives you've considered N/A

Additional context N/A

Would you be willing to contribute this feature? I would love to contribute.
help wanted feature

opened by yu-iskw 0

Releases(v0.6.4)

v0.6.4(Dec 29, 2022)

Fixed a bug in source freshness alerts.

Full Changelog: https://github.com/elementary-data/elementary/compare/v0.6.3...v0.6.4
Source code(tar.gz)
Source code(zip)
v0.6.3(Dec 19, 2022)
Docker

We've released our first Docker image!

What's Changed

Fix schema changes missing results by @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/435

Added --disable-samples. by @elongl in https://github.com/elementary-data/elementary/pull/430

support test short name in alerts by @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/436

fix alerts description by @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/437

fix an issue when auto open report in WSL by @ivan-toriya in https://github.com/elementary-data/elementary/pull/447

Letting dbt lookup the profiles.yml unless --profiles-dir specified. by @elongl in https://github.com/elementary-data/elementary/pull/438

Add email parsing for slack handle alerts by @jelstongreen & @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/448 & https://github.com/elementary-data/elementary/pull/453

fix timezone for alerts bug by @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/454

Grouped description by @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/428

Added --project-name. by @elongl in https://github.com/elementary-data/elementary/pull/460

Created an --env flag. by @elongl in https://github.com/elementary-data/elementary/pull/464

Short-circuting the channel name to channel ID lookup. by @elongl in https://github.com/elementary-data/elementary/pull/466

schema_changes_from_baseline support in reports by @haritamar in https://github.com/elementary-data/elementary/pull/455

tags and owners sidebars by @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/452

Modular alerts by @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/418

Still get user ids when only a non-list is passed to owner/subscriber by @jelstongreen in https://github.com/elementary-data/elementary/pull/459

New Contributors

@ivan-toriya made their first contribution in https://github.com/elementary-data/elementary/pull/447

@jelstongreen made their first contribution in https://github.com/elementary-data/elementary/pull/448

Full Changelog: https://github.com/elementary-data/elementary/compare/v0.6.2...v0.6.3
Source code(tar.gz)
Source code(zip)
v0.6.2(Nov 29, 2022)
Bug Fixes

Fixed a bug in the report where schema change test results are missing

Fixed a bug in the alerts resulted in the long name of the test being displayed instead of the short name

Source code(tar.gz)
Source code(zip)
v0.6.1(Nov 24, 2022)

Bug Fixes

Fixed a bug in the report resulted in the long name of the test being displayed instead of the short name
Source code(tar.gz)
Source code(zip)
v0.6.0(Nov 23, 2022)
What's Changed

Improved report's generation time by 10x by @elongl in https://github.com/elementary-data/elementary/pull/413

Improved Lineage performance by 10x by @nimrod-ne in https://github.com/elementary-data/elementary/pull/392

Support test description both on the report and the alerts by @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/401

Detailed error reporting by @haritamar in https://github.com/elementary-data/elementary/pull/386

Tutorial guide by @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/376

Let boto3 determine AWS credentials by @hengpor in https://github.com/elementary-data/elementary/pull/396

--dbt-quoting CLI flag by @haritamar in https://github.com/elementary-data/elementary/pull/411

Unify updated tests by @IDoneShaveIt in https://github.com/elementary-data/elementary/pull/384

evaluate config args in hierarchy, even the "falsey" ones by @kopackiw in https://github.com/elementary-data/elementary/pull/381

Introduce Elementary extension for Meltano into docs by @SBurwash in https://github.com/elementary-data/elementary/pull/399

New Contributors

@kopackiw made their first contribution in https://github.com/elementary-data/elementary/pull/380

@haritamar made their first contribution in https://github.com/elementary-data/elementary/pull/387

@hengpor made their first contribution in https://github.com/elementary-data/elementary/pull/396

@SBurwash made their first contribution in https://github.com/elementary-data/elementary/pull/399

Full Changelog: https://github.com/elementary-data/elementary/compare/v0.5.4...v0.6.0
Source code(tar.gz)
Source code(zip)
v0.5.4(Oct 30, 2022)
New Features

Checking that edr is compatible with dbt package version in order to avoid unexpected crashes

Bug Fixes & Improvements

Improved report's performance

Fixed sending report over Slack for big files

Report datetime have consistent format

Contributions & Acknowledgements

Thanks @a13xa1v35 and @rloredo for making their first contributions 😎 ✌🏻
Source code(tar.gz)
Source code(zip)
v0.5.3(Oct 19, 2022)
Changes

Added source freshness alerts.

Added a flag to excludes Elementary's internal models from the report --exclude-elementary-models, true by default.

Added a formatter CI that ensures the code is formatted at all times.

Source code(tar.gz)
Source code(zip)
v0.5.2(Oct 3, 2022)
Fixed bugs in the report's Model Runs screen:

Sorting by columns did not work properly.

Failed model runs showed a "success" tooltip.

Improved the average execution time line.

Source code(tar.gz)
Source code(zip)
v0.5.1(Sep 29, 2022)

Fixed a bug in the report that causes it to crash when the user's dbt project contains Exposures.
Source code(tar.gz)
Source code(zip)
v0.5.0(Sep 28, 2022)
New Features

New Model Runs screen :scream: :partying_face: :bangbang:

Alerts' time can be configured with a --timezone parameter. Thanks @Nic3Guy for the contribution.

Added OAuth (gcloud) support for send-report with Google Cloud Storage.

Changes

Changed default executions limit in Test Runs from 30 to 720.

Changed error logs to exception logs in send-report in order to present the user with the issue. Thanks @seanglynn-thrive for the contribution.

Bug Fixes

Fixed a backwards-compatibility bug that caused alerts to appear and be sent twice.

Source code(tar.gz)
Source code(zip)
v0.4.11(Sep 7, 2022)
New Features

Support uploading the report to flexible path in S3 & GCS buckets 😎

Support configuring slack channel also at the test level 💯

Bug Fixes

Linage screen fixes and improvements ✌🏻

Fix Slack rate limit error

Contributions & Acknowledgements

Thanks @YashPimple for making his first contribution.
Source code(tar.gz)
Source code(zip)
v0.4.10(Aug 30, 2022)
Bug Fixes

Fix report exception when expanding a test result with error status (happened only to anomaly & schema changes tests).

Source code(tar.gz)
Source code(zip)
v0.4.9(Aug 29, 2022)
New Features

New Lineage screen 🥳 🎉 🎈 dbt lineage enriched with test results.

Browser authentication support via SSO in profiles.yml.

Custom report name in send-report.

edr returns exit codes according to whether it succeeded or failed.

A new Github Action for running edr in an automated manner.

Infrastructure

Report side bar issue when files string was part of the models path.

Added CI to automatically run E2E tests using Github Actions.

Added more logs when CLI fails to expedite incident resolution.

Guides

Elementary setup in production.

Source code(tar.gz)
Source code(zip)
v0.4.8(Aug 15, 2022)
Same as v0.4.7 but with the following fixes:

Fixed Slack integration with webhook

Source code(tar.gz)
Source code(zip)
v0.4.7(Aug 14, 2022)
New Changes

New! Databricks support (beta)!! ✌🏻💯

New! Dimension values monitoring!! 💪🏻

New! S3 / GCS integration (upload report & static website support)!! 😎

New! Docs are first citizen and part of the repository!! 🤯

Acknowledgements & Contributions

@hahnbeelee for making first contribution 👏🏻

@hanywang2 for making first contribution 👏🏻

@Aylr for making first contribution 👏🏻

Source code(tar.gz)
Source code(zip)
v0.4.6(Jul 27, 2022)
Same as v0.4.5 but with the following fixes-

Fixed dependencies issue between platforms (BigQuery, Redshift, Snowflake)

Fixed edr monitor missing alert modules

Fixed duplicated values in UI filters

Source code(tar.gz)
Source code(zip)
v0.4.5(Jul 25, 2022)
New Changes

New! Inspect upstream and downstream test results in UI

New! Alerts on models and snapshots failures and errors

Added the option to subscribe for alerts

Added custom Slack channel for alerts

Long tests queries support in alerts

Configurable name for report file

Flag for sampling passed Elementary anomaly tests

Bug Fixes

Fixed error status tests failing the report

Fixed multiple owners in alerts

Fixed race condition in alerts when multiple dbt test jobs are running

Fixed Slack token integration bug due to Slack API pagination

Source code(tar.gz)
Source code(zip)
v0.4.4(Jul 14, 2022)
New Changes

Added an error page on a failed report.

Bug Fixes

Handling a race condition with multiple dbt test concurrently to edr monitor.

Source code(tar.gz)
Source code(zip)
v0.4.2(Jul 6, 2022)
New Changes

New test runs screen to monitor test executions!!!

Added support for sending Elementary's report via Slack!!!

Added filters and sorting to the UI table.

Made Elementary 'pass' tests expandable as well for visibility.

Added 'error' status support for tests that didn't compete successfully.

Improved Slack alerts reliability.

Added support for Slack tokens.

Bug Fixes

Slack alerts with long text failed due to Slack limitation.

Failed to parse a list of model owners in the Slack alerts.

Acknowledgements & Contributions

@nimrodne

@shahafa

Source code(tar.gz)
Source code(zip)
v0.4.1(Jun 20, 2022)
New Changes

Elementary now supports showing results and sending alerts also for dbt's Singular tests!

Added status code to the CLI to get better indication of a CLI successful run

Added support for showing dbt sub types in the UI

Source code(tar.gz)
Source code(zip)
v0.4.0(Jun 17, 2022)
New Changes

Elementary now supports showing its dbt package results in a UI! 🥇

New CLI command to open Elementary UI - edr monitor report

Elementary UI shows test results and metrics for both Elementary and regular dbt tests

Acknowledgements & Contributions

@IDoneShaveIt for making his first contribution

@nimrodne for FE development

@shahafa for FE development

@elongl

(Bumped version from 0.2.9 to 0.4.0 for compatibility with the dbt package version)
Source code(tar.gz)
Source code(zip)
v0.2.9(May 18, 2022)
Split Elementary into modules to simplify requirements and setup! (see docs to learn more)

Source code(tar.gz)
Source code(zip)
v0.2.7(May 12, 2022)
Added detailed alerts on regular dbt test failures

Added rich metadata to alerts including owners, tags, params, query, sample rows and more

Added slack webhook CLI param

Added new alerts foramatting

Source code(tar.gz)
Source code(zip)
v0.2.6(Apr 25, 2022)
Redshift support!

Added new progress bar while sending alerts

Upgraded dbt package version

Source code(tar.gz)
Source code(zip)
v0.2.5(Mar 28, 2022)
Fixed requirements

Changed alerts descriptions

Bug fixes

Source code(tar.gz)
Source code(zip)
v0.2.4(Mar 21, 2022)
Fixed requirements issue

Source code(tar.gz)
Source code(zip)
v0.2.3(Mar 20, 2022)
CLI monitor now also supports BigQuery!

Improved alerts description

Updated internal dbt package

Source code(tar.gz)
Source code(zip)
v0.2.2(Mar 16, 2022)
This version presents the following enhancements -

New alerts aggregation

Supports our new dbt package -

Monitors are natively defined as dbt tests

Monitors run as part of dbt test

Source code(tar.gz)
Source code(zip)
v0.2.1(Mar 10, 2022)
Slack workflows support (thanks @aaron-westlake!)

Bigquery fix (thanks @yu-iskw!)

Updated versions and small fixes

Source code(tar.gz)
Source code(zip)
v0.2.0(Mar 4, 2022)
This version presents the following enhancements -

Configuration directly from dbt yml files 👍

Auto-upload of dbt artifacts to the DWH 💯

New anomaly detection module 👍

New dbt artifacts module 🥇

New alerts for table and column level anomalies 💯

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

Owner

GitHub Repository https://docs.elementary-data.com

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Elementary is an open-source data reliability framework for modern data teams. The first module of the framework is data lineage.

Related tags

Overview

Features

Quick start

Documentation

Community & Support

Integrations

License

Comments

Motivation

Overview

Environments

Error message

Releases(v0.6.4)

v0.6.4(Dec 29, 2022)

v0.6.3(Dec 19, 2022)

Docker

What's Changed

New Contributors

v0.6.2(Nov 29, 2022)

v0.6.1(Nov 24, 2022)

v0.6.0(Nov 23, 2022)

What's Changed

New Contributors

v0.5.4(Oct 30, 2022)

v0.5.3(Oct 19, 2022)

Changes

v0.5.2(Oct 3, 2022)

v0.5.1(Sep 29, 2022)

v0.5.0(Sep 28, 2022)

v0.4.11(Sep 7, 2022)

v0.4.10(Aug 30, 2022)

v0.4.9(Aug 29, 2022)

v0.4.8(Aug 15, 2022)

v0.4.7(Aug 14, 2022)

New Changes

Acknowledgements & Contributions

v0.4.6(Jul 27, 2022)

v0.4.5(Jul 25, 2022)

New Changes

Bug Fixes

v0.4.4(Jul 14, 2022)

New Changes

Bug Fixes

v0.4.2(Jul 6, 2022)

New Changes

Bug Fixes

Acknowledgements & Contributions

v0.4.1(Jun 20, 2022)

New Changes

v0.4.0(Jun 17, 2022)

New Changes

Acknowledgements & Contributions

v0.2.9(May 18, 2022)

v0.2.7(May 12, 2022)

v0.2.6(Apr 25, 2022)

v0.2.5(Mar 28, 2022)

v0.2.4(Mar 21, 2022)

v0.2.3(Mar 20, 2022)

v0.2.2(Mar 16, 2022)

v0.2.1(Mar 10, 2022)

v0.2.0(Mar 4, 2022)

Owner

2019 Data Science Bowl

Data Science Environment Setup in single line

ELFXtract is an automated analysis tool used for enumerating ELF binaries

Mining the Stack Overflow Developer Survey

Meltano: ELT for the DataOps era. Meltano is open source, self-hosted, CLI-first, debuggable, and extensible.

Open-Domain Question-Answering for COVID-19 and Other Emergent Domains

Data Analysis for First Year Laboratory at Imperial College, London.

Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences

Pipeline and Dataset helpers for complex algorithm evaluation.

Making the DAEN information accessible.

Conduits - A Declarative Pipelining Tool For Pandas

A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful.

This is an analysis and prediction project for house prices in King County, USA based on certain features of the house

Falcon: Interactive Visual Analysis for Big Data

Integrate bus data from a variety of sources (batch processing and real time processing).

General Assembly's 2015 Data Science course in Washington, DC