interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
Star History
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+174
STARS · LAST 30 DAYS
6
PER DAY
#125
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +42 | +174 | +540 |
| Per day | 6 | 6 | 6 |
| Forks gained | +4 | +16 | +40 |
interpret gained 174 stars in the last 30 days, about 6 a day, and now has 7K. It is about 7 years old and has averaged roughly 994 stars a year. It ranks #125 among C++ repositories and #1,747 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#4817
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
interpret has maintained a continuous presence across global trending indexes, peaking at #4817. Below is the 30-day activity profile:
💡 Overview
interpret is an open-source project written in C++: Fit interpretable models. Explain blackbox machine learning. .
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, artificial-intelligence, bias. 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 C++ 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
$ git clone https://github.com/interpretml/interpret.git
cd interpret⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
interpret coordinates its core functionality through a modular C++ 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 interpret.
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 interpret using your package manager: `git clone https://github.com/interpretml/interpret.git`
Initialize your project workspace or configuration file for interpret.
Import interpret into your codebase or invoke it directly from your terminal.
Execute your test suite or run `interpret --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
interpretml/interpret is currently ranked #1,747 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,742 | Sigil-Ebook/Sigil | C++ | ★ 7K | Compare ↗ |
| #1,743 | Tianyu199509/DeskBox | C# | ★ 7K | Compare ↗ |
| #1,744 | apache/couchdb | Erlang | ★ 7K | Compare ↗ |
| #1,745 | evidence-dev/evidence | TypeScript | ★ 7K | Compare ↗ |
| #1,746 | firebase/firebase-ios-sdk | C++ | ★ 7K | Compare ↗ |
| #1,747 | interpretml/interpret This Project | C++ | ★ 7K | |
| #1,748 | Osmantic/ODS | Python | ★ 7K | Compare ↗ |
| #1,749 | XiaoDuoYa/codex-with-chatgpt | TypeScript | ★ 7K | Compare ↗ |
| #1,750 | linearmouse/linearmouse | Swift | ★ 6.9K | Compare ↗ |
| #1,751 | sysown/proxysql | C++ | ★ 6.9K | Compare ↗ |
| #1,752 | drumih/turbo-fieldfare | Swift | ★ 6.9K | Compare ↗ |
Frequently Asked Questions
What does interpret do? +
Fit interpretable models. Explain blackbox machine learning.
What language is interpret written in? +
The primary language is C++. Topics include: ai, artificial-intelligence, bias, blackbox, differential-privacy.
Is interpret actively maintained? +
Yes, the last recorded push was on Oct 14, 2026 with 44 open issues being tracked.
How many stars does interpret have? +
interpret has 6,958 stars and 791 forks on GitHub.
How does interpret rank among GitHub repositories? +
With 6,958 stars, interpretml/interpret is ranked #1,747 globally across all repositories tracked on GitHubRepo and #125 among C++ projects.
What license is interpret distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
