elementary
deepchecks
| elementary | deepchecks | |
|---|---|---|
| 30 | 15 | |
| 1,740 | 3,373 | |
| 1.8% | 2.3% | |
| 9.8 | 8.2 | |
| 6 days ago | 19 days ago | |
| HTML | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
elementary
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Open source data observability tools with UI?
Check out https://github.com/elementary-data/elementary
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Data Validation tools
In this case, do https://github.com/elementary-data/elementary or https://greatexpectations.io help?
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SQL “Visualization” Website/Resource?
That makes explain little easier to read. No graph though. Also https://github.com/elementary-data/elementary should know howto draw pretty graphs for data lineage ( ie. what columns comes where and is used how)
- Open source dbt tests monitoring
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Suggestions for open source anomaly-detection, linting and metadata solutions?
there is elementary lineage / elementary-data which seems to be good try to solve those problem, i havent tested it well https://github.com/elementary-data/elementary
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Snowflake SQL AST parser?
Some things you might be interested in are re_data and Elementary Data.
- Launch HN: Elementary (YC W22) – Open-source data observability
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Data lineage info to a table in the DWH
Hi all, As part of building Elementary (open source data reliability), we implemented support of a new Snowflake feature (write operations in the access_history view). The change they made is most useful for understanding data lineage, which we solve (among other use cases :)).
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Launch HN: Metaplane (YC W20) – Datadog for Data
I recently stumbled on an open-source tool with a similar premise: https://github.com/elementary-data/elementary-lineage
you can check it out
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Lightweight data profiling tools / relationship discovery
Hi! we are working on an open source data lineage solution that might be helpful for your use case to learn the relationship between tables, we don't support column level just yet but we are working on it. Please let me know if we can help somehow and feel free to check it out here - https://github.com/elementary-data/elementary-lineage
deepchecks
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Detect, Defend, Prevail: Payments Fraud Detection using ML & Deepchecks
Also if you have any confusion related to it. You can directly go to their discussion section in github :
- Deepchecks: Open-source ML testing and validation library
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Deepchecks' New Open Source is on Product Hunt, and Needs Your Help
GitHub for Deepchecks: https://github.com/deepchecks/deepchecks
- [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
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Data Validation tools
I use DeepChecks for my continuous training pipelines. You can check out the Data Integrity Checks.
- Deepchecks
- deepchecks: Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
- QA help comes in many forms: Sometimes, from your heavily funded competitor
- Deepchecks: An open-source tool for testing machine learning models and data
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Test suites for machine learning models in Python (New OSS package)
And if you liked the project, we'll be delighted to count you as one of our stargazers at https://github.com/deepchecks/deepchecks/stargazers!
What are some alternatives?
re_data - re_data - fix data issues before your users & CEO would discover them 😊
great_expectations - Always know what to expect from your data.
sqllineage - SQL Lineage Analysis Tool powered by Python
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
dbt-data-reliability - dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
model-validation-toolkit - Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
tiddlywiki-docker - Tools for running TiddlyWiki via a Docker container
feast - Feature Store for Machine Learning
lightdash - Self-serve BI to 10x your data team ⚡️
postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
giskard - 🐢 Open-Source Evaluation & Testing framework for LLMs and ML models