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pandas-datareader

Extract data from a wide range of Internet sources into a pandas DataFrame.

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..

Popularity
Repository stars3,2787,245Highest
7-day net stars——
Fork695921Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-07-212026-11-02
Maintenance notesNot verifiedNot verified
Repository created2015-01-152022-07-07
License & use
LicenseLicense not declaredApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData analysis
TypeApps & systemsApps & systems
SubcategoryDeveloper toolsDeveloper tools
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonRust
About this projectExtract data from a wide range of Internet sources into a pandas DataFrame.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..
Measured at2026-11-02 19:00 UTC2026-11-02 19:00 UTC

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