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..
Star History
Momentum
+178
STARS · LAST 30 DAYS
6
PER DAY
#94
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +42 | +178 | +540 |
| Per day | 6 | 6 | 6 |
| Forks gained | +4 | +17 | +43 |
lance gained 178 stars in the last 30 days, about 6 a day, and now has 7.1K. It is about 4 years old and has averaged roughly 1.8K stars a year. It ranks #94 among Rust repositories and #848 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#1202
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
lance has maintained a continuous presence across global trending indexes, peaking at #1202. Below is the 30-day activity profile:
💡 Overview
lance is an open-source project written in Rust: 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..
Engineered for speed, consistency, and developer ease, it solves common hurdles in apache-arrow, computer-vision, data-analysis. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Rust for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ cargo install lance⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
lance coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with lance.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install lance using your package manager: `cargo install lance`
Initialize your project workspace or configuration file for lance.
Import lance into your codebase or invoke it directly from your terminal.
Execute your test suite or run `lance --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
lance-format/lance is currently ranked #848 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #843 | JerryZLiu/Dayflow | Swift | ★ 7.2K | Compare ↗ |
| #844 | NVIDIA/warp | Python | ★ 7.1K | Compare ↗ |
| #845 | RsaCtfTool/RsaCtfTool | Python | ★ 7.1K | Compare ↗ |
| #846 | experientiallabs/experiential | Python | ★ 7.1K | Compare ↗ |
| #847 | enricoros/big-AGI | TypeScript | ★ 7.1K | Compare ↗ |
| #848 | lance-format/lance This Project | Rust | ★ 7.1K | |
| #849 | vespa-engine/vespa | Java | ★ 7.1K | Compare ↗ |
| #850 | pixelfed/pixelfed | PHP | ★ 7.1K | Compare ↗ |
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Frequently Asked Questions
What does lance do? +
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..
What language is lance written in? +
The primary language is Rust. Topics include: apache-arrow, computer-vision, data-analysis, data-analytics, data-centric.
Is lance actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 1,282 open issues being tracked.
How many stars does lance have? +
lance has 7,114 stars and 863 forks on GitHub.
How does lance rank among GitHub repositories? +
With 7,114 stars, lance-format/lance is ranked #848 globally across all repositories tracked on GitHubRepo and #94 among Rust projects.
What license is lance distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
