High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees
⚡ Executive Summary & Quick Facts
Authoritative Sourcelearned_index_lab is learned_index_lab is an open-source project written in Rust: High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees..
| Repository | gilnett/learned_index_lab ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Rust |
| Software License | Apache-2.0 |
| Community Traction | ★ 147 stars · ⑂ 3 forks · #15,815 globally |
| Maintenance | ● Active (Last commit: Oct 19, 2026) · 0 open issues |
| Target Audience | Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,504
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
learned_index_lab gained 10 stars in the last 30 days, about 1 a day, and now has 147. It is about 1 year old and has averaged roughly 147 stars a year. It ranks #1,504 among Rust repositories and #15,815 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#15065
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
learned_index_lab has maintained a continuous presence across global trending indexes, peaking at #15065. Below is the 30-day activity profile:
💡 Overview
learned_index_lab is an open-source project written in Rust: High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Rust. 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 learned_index_lab⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
learned_index_lab 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
Production System Integration
Embed learned_index_lab into Rust backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install learned_index_lab using your package manager: `cargo install learned_index_lab`
Initialize your project workspace or configuration file for learned_index_lab.
Import learned_index_lab into your codebase or invoke it directly from your terminal.
Execute your test suite or run `learned_index_lab --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
gilnett/learned_index_lab is currently ranked #15,815 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #15,768 | meta-models/meta-model-cookbook | Python | ★ 148 | Compare ↗ |
| #15,768 | UiPath/coder_eval | Python | ★ 148 | Compare ↗ |
| #15,768 | jazzenchen/agent-hud-open | Swift | ★ 148 | Compare ↗ |
| #15,768 | HuangZeLinCute/CourtMind | Python | ★ 148 | Compare ↗ |
| #15,768 | iamyoki/qwen-image-2.1-skill | Python | ★ 148 | Compare ↗ |
| #15,815 | gilnett/learned_index_lab This Project | Rust | ★ 147 | |
| #15,815 | glenngillen/semantic_form_builder | Ruby | ★ 147 | Compare ↗ |
| #15,815 | defunkt/lyndon | Ruby | ★ 147 | Compare ↗ |
| #15,815 | 280north/jake | JavaScript | ★ 147 | Compare ↗ |
| #15,815 | jonathangeiger/kohana-jelly | PHP | ★ 147 | Compare ↗ |
| #15,815 | aws/aws-sdk-net | C# | ★ 147 | Compare ↗ |
Frequently Asked Questions
What does learned_index_lab do? +
High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees
What language is learned_index_lab written in? +
The primary language is Rust. Topics include: software.
Is learned_index_lab actively maintained? +
Yes, the last recorded push was on Oct 19, 2026 with 0 open issues being tracked.
How many stars does learned_index_lab have? +
learned_index_lab has 147 stars and 3 forks on GitHub.
How does learned_index_lab rank among GitHub repositories? +
With 147 stars, gilnett/learned_index_lab is ranked #15,815 globally across all repositories tracked on GitHubRepo and #1,504 among Rust projects.
What license is learned_index_lab distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
