Python toolkit for evaluating and visualizing the data quality of excel spreadsheets
GitHub repository with 8 stars and 2 forks.
Language: Python
Topics: data-quality, data-quality-measurement, data-science, excel, spreadsheet
2026-06-05: 8 stars and 2 forks.
Zero-config entity resolution that scales from a CSV to 100M+ rows on a Ray cluster (verified: 100M deduped in 213s, 0.30 GB driver). Fuzzy + exact + probabilistic dedupe, identity graph, PPRL, LLM boost. Python + full TypeScript port; SQL-native in PostgreSQL & DuckDB; MCP/REST servers, dbt + Airflow recipes.
GitHub repository with 79 stars and 10 forks.
Trending score: 0.94; stars gained: +8; forks gained: +1.
Language: Python
Topics: active-learning, agent, airflow, auto-config, data-engineering, data-quality
Always know what to expect from your data.
GitHub repository with 11,542 stars and 1,755 forks.
Trending score: 0.73; stars gained: +3; forks gained: +0.
Language: Python
Topics: pipeline-tests, dataquality, datacleaning, datacleaner, data-science, data-profiling
Production-style real-time e-commerce lakehouse with Kafka, Airflow, Databricks, Medallion architecture, data quality, quarantine, Terraform, and Dash analytics.
GitHub repository with 27 stars and 0 forks.
Trending score: 0.31; stars gained: +1; forks gained: +0.
Language: Python
Topics: airflow, data-engineering, data-quality, databricks, delta-lake, kafka
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
GitHub repository with 58 stars and 5 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: pandas, dataframe, validation, polars, pydantic, data-quality
Real-time fraud detection lakehouse with Kafka, medallion pipelines, data quality, explainable scoring, and dashboards.
GitHub repository with 12 stars and 0 forks.
Trending score: 0.03; stars gained: +0; forks gained: +0.
Language: Python
Topics: airflow, data-engineering, data-quality, databricks, fraud-detection, kafka
The agent that grows with you
GitHub repository with 181,467 stars and 31,144 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,942 stars and 833 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,386 stars and 2,252 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 30,002 stars and 4,224 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,221 stars and 528 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,341 stars and 28,044 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Local-first ETL/ELT studio: a drag-and-drop visual pipeline designer that compiles to SQL and runs on DuckDB. Tiny desktop app, no servers, git-friendly workspaces.
GitHub repository with 271 stars and 20 forks.
Trending score: 2.64; stars gained: +36; forks gained: +0.
Language: Rust
Topics: data-engineering, data-integration, data-pipeline, data-quality, desktop-app, drag-and-drop
Zero-config entity resolution that scales from a CSV to 100M+ rows on a Ray cluster (verified: 100M deduped in 213s, 0.30 GB driver). Fuzzy + exact + probabilistic dedupe, identity graph, PPRL, LLM boost. Python + full TypeScript port; SQL-native in PostgreSQL & DuckDB; MCP/REST servers, dbt + Airflow recipes.
GitHub repository with 79 stars and 10 forks.
Trending score: 0.94; stars gained: +8; forks gained: +1.
Language: Python
Topics: active-learning, agent, airflow, auto-config, data-engineering, data-quality
Always know what to expect from your data.
GitHub repository with 11,542 stars and 1,755 forks.
Trending score: 0.73; stars gained: +3; forks gained: +0.
Language: Python
Topics: pipeline-tests, dataquality, datacleaning, datacleaner, data-science, data-profiling
The typed graph between your code and whichever warehouse, table format, or query engine you've chosen — typed compiler, branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.
GitHub repository with 265 stars and 12 forks.
Trending score: 0.32; stars gained: +1; forks gained: +0.
Language: Rust
Topics: column-lineage, dagster, data-contracts, data-engineering, data-lineage, data-pipeline
Production-style real-time e-commerce lakehouse with Kafka, Airflow, Databricks, Medallion architecture, data quality, quarantine, Terraform, and Dash analytics.
GitHub repository with 27 stars and 0 forks.
Trending score: 0.31; stars gained: +1; forks gained: +0.
Language: Python
Topics: airflow, data-engineering, data-quality, databricks, delta-lake, kafka
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
GitHub repository with 58 stars and 5 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: pandas, dataframe, validation, polars, pydantic, data-quality