📈 GH Trending Explorer 🎲 Surprise me

Search: polars · clear

pola-rs / polars

Extremely fast Query Engine for DataFrames, written in Rust

★ 40k Rust today
dbcli / mycli

Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes

★ 12k Python today
lance-format / lance

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..

★ 7.2k Rust today
shy3130 / tick-stock-panel

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

★ 6.2k Python 🔥 today
lk-geimfari / mimesis

Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.

★ 4.9k Python 14d ago
dathere / qsv

Blazing-fast, Neuro-symbolic Data-Wrangling toolkit

★ 3.8k Rust today
polarsignals / frostdb

❄️ Coolest database around 🧊 Embeddable column database written in Go.

★ 1.5k Go 1d ago
ddotta / awesome-polars

A curated list of Polars talks, tools, examples & articles. Contributions welcome !

★ 1.1k 4d ago
rootSunc / CNEquity

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

★ 754 Python 2d ago
buckaroo-data / buckaroo

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

★ 685 Python today
alceal / plotlars

Plotlars is a Rust library designed to facilitate the integration between the Polars data analysis library and Plotly library.

★ 671 Rust 12d ago
capitalone / datacompy

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

★ 663 Python 1d ago
jrmeier / fast-trade

low code backtesting library utilizing polars and technical analysis indicators

★ 599 Python 4d ago
KratosDataGod / KratosForge

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.