openlayer-ai/jevals
Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.
⚡ Executive Summary & Quick Facts
Authoritative Sourcejevals is jevals is an open-source project written in Python: Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), openlayer-ai/jevals has accumulated 105 GitHub stars and 11 forks. It is written in Python, licensed under MIT, and ranks #26,005 globally. It is actively maintained with the latest commit recorded on Oct 15, 2026.”
| Repository | openlayer-ai/jevals ↗ |
|---|---|
| Primary Category | agents |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 105 stars · ⑂ 11 forks · #26,005 globally |
| Maintenance | ● Active (Last commit: Oct 15, 2026) · 3 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, jevals is actively maintained. Continuous telemetry recorded the last code commit on Oct 15, 2026 (29 days ago). Supported by 105 stars and 11 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (29 days ago) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/openlayer-ai/jevals?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/openlayer-ai/jevals?utm_source=readme_badge) [](https://githubrepo.cloud/repo/openlayer-ai/jevals?utm_source=readme_badge) [](https://githubrepo.cloud/repo/openlayer-ai/jevals?utm_source=readme_badge) [](https://githubrepo.cloud/repo/openlayer-ai/jevals?utm_source=readme_badge) [](https://githubrepo.cloud/repo/openlayer-ai/jevals?utm_source=readme_badge)Momentum
+1
STARS · LAST 30 DAYS
1
PER DAY
#3,650
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +1 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +1 | +10 |
jevals gained 1 stars in the last 30 days, about 1 a day, and now has 105. It is about 1 year old and has averaged roughly 105 stars a year. It ranks #3,650 among Python repositories and #26,005 across all languages on GitHubRepo.
Trending Record
42
DAYS ON TRENDING
#1605
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
jevals has maintained a continuous presence across global trending indexes, peaking at #1605. Below is the 30-day activity profile:
💡 Overview
jevals is an open-source project written in Python: Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, evals, guardrails. 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 Python 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
$ pip install jevals⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
jevals 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with jevals.
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 jevals using your package manager: `pip install jevals`
Initialize your project workspace or configuration file for jevals.
Import jevals into your codebase or invoke it directly from your terminal.
Execute your test suite or run `jevals --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
openlayer-ai/jevals is currently ranked #26,005 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #25,903 | mimikm/Home-Calendar-Card | JavaScript | ★ 106 | Compare ↗ |
| #25,903 | marcus-moorelab91a4/fps-optimizer-rust | Python | ★ 106 | Compare ↗ |
| #25,903 | eric-sonio2095r2/Minecraft-Aimbot-Smooth-Tracking-Auto-Aim-Client-Module | Python | ★ 106 | Compare ↗ |
| #25,903 | tarasenko-by/wintor | C# | ★ 106 | Compare ↗ |
| #25,903 | noahelhadedy/double-shot | Swift | ★ 106 | Compare ↗ |
| #26,005 | openlayer-ai/jevals This Project | Python | ★ 105 | |
| #26,005 | lukegalea/hyperactiveresource | Ruby | ★ 105 | Compare ↗ |
| #26,005 | lig/pystardict | Python | ★ 105 | Compare ↗ |
| #26,005 | jdthomas/bayer2rgb | C | ★ 105 | Compare ↗ |
| #26,005 | pc/tsocks | C | ★ 105 | Compare ↗ |
| #26,005 | slavikus/Icy | Objective-C | ★ 105 | Compare ↗ |
Frequently Asked Questions
What does jevals do? +
Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.
Is jevals actively maintained in 2026? +
Yes, jevals is actively maintained. The latest code push was recorded on Oct 15, 2026 (29 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 105 stars and 3 open issues.
What language is jevals written in? +
The primary language is Python. Topics include: agents, evals, guardrails, jev, llm.
How many stars does jevals have? +
jevals has 105 stars and 11 forks on GitHub.
How does jevals rank among GitHub repositories? +
With 105 stars, openlayer-ai/jevals is ranked #26,005 globally across all repositories tracked on GitHubRepo and #3,650 among Python projects.
What license is jevals distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
