1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
- pandas-profiling
- pandas-dataframe
- statistics
- jupyter-notebook
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Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
- machine-learning
- ml
- model-validation
- data-validation
This repo maintains DM (a data migration platform) and TiCDC (change data capture for TiDB)
Powerful CSV & Excel Import experience for SaaS 🚀 Save months building data import experience from scratch 💰
- csv-import
- data-import
- data-mapping
- data-review
AtlasMap project repository
- atlasmap
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-ops
- data-quality
- data-quality-checks
- data-quality-measurement
Please note that the warc-indexer tool & code is now supported by NetArchiveSuite. The 'warc-indexer' directory and code that exists in this repo is now only for reference. For support and issues of 'warc-indexer', please communicate with NetArchiveSuite.
A JMeter plug-in that enables you to send test results to a Kafka server
Jmeter JTL parsing with Logstash for Elasticseacrh and Influxdb ...
- jmeter
- logstash
- filebeat
- elasticsearch