Always know what to expect from your data.
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Updated
Jun 11, 2024 - Python
Always know what to expect from your data.
The open-source tool for building high-quality datasets and computer vision models
Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
lakeFS - Data version control for your data lake | Git for data
The Open Source Feature Store for Machine Learning
OpenMetadata is a unified platform for discovery, observability, and governance powered by a central metadata repository, in-depth lineage, and seamless team collaboration.
Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects.
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
Test data management tool for any data source, batch or real-time
Example API implementation for Data Caterer
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
Source-available data quality tool
Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
Tool for automatic determination of data quality (accuracy and precision) of wearable eye tracker recordings
Possibly the fastest DataFrame-agnostic quality check library in town.
Intelligent Data Analysis (IAU_B) @ FIIT STU in Bratislava
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