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gspread-pandas

Read and write Google Sheets as pandas DataFrames — column-matched appends, real dtypes, and layout detection for sheets that don't start at A1.

hamilton

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Popularity
Repository stars4142,622Highest
7-day net stars——
Fork56230Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-08-132026-11-02
Maintenance notesNot verifiedNot verified
Repository created2016-10-122023-02-23
License & use
LicenseBSD-3-Clause · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData analysis · Retrieval-augmented generation
TypeApps & systemsApps & systems
SubcategoryOffice collaborationDeveloper 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
LanguagePythonJupyter Notebook
About this projectRead and write Google Sheets as pandas DataFrames — column-matched appends, real dtypes, and layout detection for sheets that don't start at A1.Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Measured at2026-11-02 19:03 UTC2026-11-02 19:00 UTC

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