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castorini/pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

Python ◇ information-retrieval Apache-2.0
★2.2KSTARS
⑂634FORKS
!82ISSUES
🏆#4,096GLOBAL RANK
🔥3DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

pyserini is pyserini is an open-source project written in Python: Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations..

Repository castorini/pyserini ↗
Primary Category information retrieval
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 2.2K stars · ⑂ 634 forks · #4,096 globally
Maintenance ● Active (Last commit: Oct 16, 2026) · 82 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

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Momentum

+54

STARS · LAST 30 DAYS

2

PER DAY

#574

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+14+54+180
Per day222
Forks gained+3+13+32

pyserini gained 54 stars in the last 30 days, about 2 a day, and now has 2.2K. It is about 7 years old and has averaged roughly 310 stars a year. It ranks #574 among Python repositories and #4,096 across all languages on GitHubRepo.

Trending Record

pyserini has maintained a continuous presence across global trending indexes, peaking at #6330. Below is the 30-day activity profile:

💡 Overview

pyserini is an open-source project written in Python: Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

Engineered for speed, consistency, and developer ease, it solves common hurdles in information-retrieval. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install pyserini

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

pyserini coordinates its core functionality through a modular Python 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 pyserini into Python 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

1

Install pyserini using your package manager: `pip install pyserini`

2

Initialize your project workspace or configuration file for pyserini.

3

Import pyserini into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `pyserini --help` to verify successful setup.

👍 Strengths

Active community backing with 2,172 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

castorini/pyserini is currently ranked #4,096 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,091 tobi/delayed_job Ruby ★ 2.2K Compare ↗
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#4,093 noborus/trdsql Go ★ 2.2K Compare ↗
#4,095 uiua-lang/uiua Rust ★ 2.2K Compare ↗
#4,096 castorini/pyserini This Project Python ★ 2.2K
#4,096 stripe/stripe-ruby Ruby ★ 2.2K Compare ↗
#4,096 fastmachinelearning/hls4ml Python ★ 2.2K Compare ↗
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Frequently Asked Questions

What does pyserini do? +

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

What language is pyserini written in? +

The primary language is Python. Topics include: information-retrieval.

Is pyserini actively maintained? +

Yes, the last recorded push was on Oct 16, 2026 with 82 open issues being tracked.

How many stars does pyserini have? +

pyserini has 2,172 stars and 634 forks on GitHub.

How does pyserini rank among GitHub repositories? +

With 2,172 stars, castorini/pyserini is ranked #4,096 globally across all repositories tracked on GitHubRepo and #574 among Python projects.

What license is pyserini distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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