QuantumNous/new-api
Rank not captured·Top 100·All-time stars·Cached ranking snapshot·
A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for personal and enterprise model management.
First read
Visible and active, but adoption proof is still thinner
QuantumNous/new-api has enough public attention and recent movement to stay on the shortlist, but package usage is still partial, so the next step should be source and ecosystem validation rather than a quick yes.
Visible
48K public stars in the current GitStar snapshot.
Recognizable in the ecosystem
Active
Last commit Sep 12, 2026.
Fresh activity
Adopted
Treat stars as discovery context until a linked package appears.
No linked package mapping
Confidence
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 48K stars
- 11.5K forks
- Last commit Sep 12, 2026
- Package usage not mapped yet
Compare lens
chatanywhere/GPT_API_free and songquanpeng/one-api are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Sep 12, 2026
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.
Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read
Validation note
GitStar can summarize public signals for QuantumNous/new-api, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
🛡️ Editorial Context
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines fresh update and stable visibility.
Fresh updateStable visibility
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 48K
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars48K
🧭 Hype vs Reality
Insufficient Package DataGitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other Go repos before treating stars as a moat.
Related alternative
chatanywhere/GPT_API_free
Shares the api category footprint with QuantumNous/new-api, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
songquanpeng/one-api
Shares the api category footprint with QuantumNous/new-api, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
Significant-Gravitas/AutoGPT
Shares the api category footprint with QuantumNous/new-api, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
mudler/LocalAI
Shares the api category footprint with QuantumNous/new-api, so the comparison is closer to a same-problem decision than a same-language coincidence.
Research links
Cross-links
Compare against related repos
GitStar picked GPT_API_free + one-api as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
[](https://gitstar.space/repo/QuantumNous/new-api)HTML
<a href="https://gitstar.space/repo/QuantumNous/new-api"><img src="https://gitstar.space/api/badge/QuantumNous/new-api" alt="GitStar"></a>Styles:
Wider nearby ecosystem
Unknown
42.4K starschatanywhere/GPT_API_free
免费大模型API，支持免费调用GPT、DeepSeek等主流模型，免费额度10000点，每日刷新！另付费价格最低官方1-2折！
JavaScript
36.9K starssongquanpeng/one-api
LLM API 管理 & 分发系统，支持 OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型，统一 API 适配，可用于 key 管理与二次分发。单可执行文件，提供 Docker 镜像，一键部署，开箱即用。LLM API management & key redistribution system, unifying multiple providers under a single API. Single binary, Docker-ready, with an English UI.
Python
187.3K starsSignificant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Go
49.1K starsmudler/LocalAI
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
Python
151.7K starsopen-webui/open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Python
39.5K starsThe-Vibe-Company/quivr
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
Next step after the validation read
Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
About This Page
This page provides a quick overview of QuantumNous/new-api based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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