Extremely fast Query Engine for DataFrames, written in Rust
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
Polar — A billing platform for the intelligence era
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
the portable Python dataframe library
TSP自托管、零运维的 A 股「自建策略 + 监控 + 回测」量化工作台 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
Make awesome display tables using Python
Lightweight and extensible compatibility layer between dataframe libraries!
❄️ Coolest database around 🧊 Embeddable column database written in Go.
A curated list of Polars talks, tools, examples & articles. Contributions welcome !
Blazingly fast DataFrames for Ruby
Python DataFrames as Interactive DataTables
Time series easier, faster, more fun. Pytimetk.
Geospatial extensions for Polars
中国 A 股数据基础设施。55个日更数据集:股票行情、基本面、期货数据、资金面、公告事件、指数行业、宏观与风险。行级溯源、PIT 语义、复权与历史成分内置,MCP 原生。自托管,零注册、零 API Token
Intuitive Data Workflows
Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCode Notebooks
Plotlars is a Rust library designed to facilitate the integration between the Polars data analysis library and Plotly library.
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Polars extension for general data science use cases
A declarative, 🐻❄️-native data frame validation library.
low code backtesting library utilizing polars and technical analysis indicators
Polars R bindings
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Interactive data exploration that is extremely fast and agent-native
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Windows desktop app that runs data jobs on your own machine with DuckDB and Polars, then publishes the results as Delta tables straight to Microsoft Fabric OneLake lakehouses. A run on your PC starts no Fabric job, which cuts Fabric capacity use; OneLake reads and writes still use some.