Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
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+27
STARS · LAST 30 DAYS
1
PER DAY
#843
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +27 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +2 | +8 | +21 |
new-term-radar gained 27 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 1 year old and has averaged roughly 1.1K stars a year. It ranks #843 among Python repositories and #6,000 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#449
BEST RANK
Oct 13, 2026
FIRST APPEARANCE
Active
STATUS TODAY
new-term-radar has maintained a continuous presence across global trending indexes, peaking at #449. Below is the 30-day activity profile:
💡 Overview
new-term-radar is an open-source project written in Python: Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai, aisa. 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 new-term-radar⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
new-term-radar 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 new-term-radar.
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 new-term-radar using your package manager: `pip install new-term-radar`
Initialize your project workspace or configuration file for new-term-radar.
Import new-term-radar into your codebase or invoke it directly from your terminal.
Execute your test suite or run `new-term-radar --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
zhuyansen/new-term-radar is currently ranked #6,000 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,991 | chrisbanes/skills | Python | ★ 1.1K | Compare ↗ |
| #5,996 | texus/TGUI | C++ | ★ 1.1K | Compare ↗ |
| #5,996 | tryAGI/LangChain | C# | ★ 1.1K | Compare ↗ |
| #5,996 | secureblue/secureblue | Python | ★ 1.1K | Compare ↗ |
| #5,999 | belaban/JGroups | Java | ★ 1.1K | Compare ↗ |
| #6,000 | zhuyansen/new-term-radar This Project | Python | ★ 1.1K | |
| #6,000 | wvanbergen/chunky_png | Ruby | ★ 1.1K | Compare ↗ |
| #6,000 | pointfreeco/episode-code-samples | Swift | ★ 1.1K | Compare ↗ |
| #6,000 | minekube/gate | Go | ★ 1.1K | Compare ↗ |
| #6,000 | awslabs/shuttle | Rust | ★ 1.1K | Compare ↗ |
| #6,000 | wflixu/RClick | Swift | ★ 1.1K | Compare ↗ |
Frequently Asked Questions
What does new-term-radar do? +
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
What language is new-term-radar written in? +
The primary language is Python. Topics include: agent-skills, ai, aisa, claude-code, claude-skills.
Is new-term-radar actively maintained? +
Yes, the last recorded push was on Oct 14, 2026 with 2 open issues being tracked.
How many stars does new-term-radar have? +
new-term-radar has 1,075 stars and 422 forks on GitHub.
How does new-term-radar rank among GitHub repositories? +
With 1,075 stars, zhuyansen/new-term-radar is ranked #6,000 globally across all repositories tracked on GitHubRepo and #843 among Python projects.
What license is new-term-radar distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
