开源序

Compare projects

Select 2–4 projects to compare on the same basis.

Only identical known values are hidden. Unknown information remains visible.

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..

fluvio

🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.

Popularity
Repository stars7,245Highest5,260
7-day net stars——
Fork921Highest531
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-022026-11-02
Maintenance notesNot verifiedNot verified
Repository created2022-07-072019-08-31
License & use
LicenseApache-2.0 · PermissiveApache-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
LanguageRustRust
About this projectOpen 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..🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Measured at2026-11-02 19:00 UTC2026-11-03 08:28 UTC

License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.