← 开源
dillionverma

llm.report

📊 llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts.

InfrastructureObservabilityTypeScript
在 GitHub 打开
增长势头
+124 小时新增 Star+0.1%
1.02k
Star
86
Fork
+1
本周
7
贡献者
创建于 2023-04-25 · 更新于 2026-10-15 · 今日第 5923 名
主要开发者
dillionvermahaseabnaveennaidu

dillionverma/llm.report 排名第 5,923,有 1,020 个星标。

同类别比较

dillionverma/llm.report 排名第 5,923,此处有 8 个同类条目;kaito-project/kaito 排名第 5,918。

同类别比较
名称排名指标
NVIDIA/cuda-tile5,901
语言:
C++
星标数:
1,040
分叉数:
90
简介:
CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-based computation patterns and optimizations targeting NVIDIA tensor core units.
microsoft/Tutel5,914
语言:
C
星标数:
1,027
分叉数:
111
简介:
Tutel MoE: Optimized Mixture-of-Experts Library, Support GLM/Kimi/Gpt/DeepSeek/Qwen using FP8/NVFP4/MXFP4
slkiser/opencode-quota5,915
语言:
TypeScript
星标数:
1,026
分叉数:
112
简介:
OpenCode quota & tokens usage with zero context window pollution. Supports OpenCode Go, Cursor, GitHub Copilot, OpenAl, Kimi Code, Alibaba Coding Plan, Chutes Al, Google Antigravity, Z.ai Coding Plan and more.
kaito-project/kaito5,918
语言:
Go
星标数:
1,025
分叉数:
187
简介:
Kubernetes AI Toolchain Operator
NVIDIA/cudf-spark5,933
语言:
Scala
星标数:
1,011
分叉数:
311
简介:
NVIDIA cuDF for Apache Spark plugin - accelerate Apache Spark with GPUs
MoonshotAI/checkpoint-engine5,934
语言:
Python
星标数:
1,010
分叉数:
113
简介:
Checkpoint-engine is a simple middleware to update model weights in LLM inference engines
whylabs/langkit5,945
语言:
Jupyter Notebook
星标数:
1,001
分叉数:
76
简介:
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
sophgo/tpu-mlir5,948
语言:
C++
星标数:
999
分叉数:
229
简介:
Machine learning compiler based on MLIR for Sophgo TPU.
关键参数与规格
关键参数与规格
参数值
语言TypeScript
类别Infrastructure
子类别Observability
星标数1,020
分叉数86
贡献者7
创建日期2023-04-25
更新日期2026-10-15
1 天星标数1
7 天星标数1
排名5,923
上次排名11,970
排名变化6,047
7 天星标排名10,298
上次 7 天星标排名13,259
7 天星标排名变化2,961
总星标排名10,990
上次总星标排名10,983
总星标排名变化-7
国家Canada
README 摘录

report is no longer actively maintained. This project was unable to find a sustainable business model, and the founders have moved on to other projects. If you are interested in maintaining or further developing this project, message me on twitter llm. report An open-source logging and analytics platform for OpenAI Introduction · Self Hosted Installation · Cloud Installation · Tech Stack · Contributing Introduction llm. report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs

, and improve your prompts. report provides out-of-the-box: OpenAI API Analytics Logs User Analytics OpenAI API Analytics No-code solution to analyze your OpenAI API costs and token usage. Logs Log your OpenAI API requests / responses and analyze them to improve your prompts. User Analytics Calculate the cost per user for your AI app. Setup environment variables Generate using and add it to 5. Quickstart - Requires Docker and Docker Compose to be installed. - Will start a local Postgres

instance with a few test users - the credentials will be logged in the console Open with your browser! js – framework Typescript – language Tailwind – CSS Shadcn – App UI components Magic UI – Marketing UI components Postgres – database NextAuth. js – auth Stripe – payments Resend - emails Contributing Here's how you can contribute: Open an issue if you believe you've encountered a bug. Make a pull request to add new features/make quality-of-life improvements/fix bugs. Star History License Inspired by Dub and

Plausible, both are open-source under the GNU Affero General Public License Version 3 (AGPLv3) or any later version. The reason for this is that we believe in the open-source ethos and want to contribute back to the community. Credits OpenAI – for creating ChatGPT shadcn-ui – for making it easy to build beautiful UIs tremor. so – beautiful dashboard componenets mintlify – beautiful documentation screen. studio – the best video recording tool vercel – for making next. js and making it easy to

build powerful apps Dub – for inspiring me to open-source this project

常见问题

记录了多少星标和分叉?

dillionverma/llm.report 有 1,020 个星标和 86 个分叉。

仓库排名是多少?

dillionverma/llm.report 排名第 5,923。

记录的语言和类别是什么?

dillionverma/llm.report 有 1,020 个星标,语言为 TypeScript,类别为 Infrastructure。

哪个仓库排名最接近?

dillionverma/llm.report 与 kaito-project/kaito 比较,后者排名第 5,918,有 1,025 个星标。

README

[!CAUTION] Attention: llm.report is no longer actively maintained. This project was unable to find a sustainable business model, and the founders have moved on to other projects. If you are interested in maintaining or further developing this project, message me on twitter

[

llm.report

An open-source logging and analytics platform for OpenAI ](https://llm.report)

Introduction · Self Hosted Installation · Cloud Installation · Tech Stack · Contributing

Introduction

llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts.

Here are some of the features that llm.report provides out-of-the-box:

OpenAI API Analytics

No-code solution to analyze your OpenAI API costs and token usage.

Logs

Log your OpenAI API requests / responses and analyze them to improve your prompts.

User Analytics

Calculate the cost per user for your AI app.

Self-Hosted Installation

  1. Clone the repo
git clone https://github.com/dillionverma/llm.report.git
  1. cd into the repo
cd llm.report
  1. Install dependencies
yarn
  1. Setup environment variables
cp .env.example .env
  • Generate NEXTAUTH_SECRET using openssl rand -base64 32 and add it to .env
  1. Quickstart
  • Requires Docker and Docker Compose to be installed.
  • Will start a local Postgres instance with a few test users - the credentials will be logged in the console
yarn dx

Open http://localhost:3000 with your browser!

Tech Stack

Contributing

Here's how you can contribute:

  • Open an issue if you believe you've encountered a bug.
  • Make a pull request to add new features/make quality-of-life improvements/fix bugs.

Star History

License

Inspired by Dub and Plausible, both are open-source under the GNU Affero General Public License Version 3 (AGPLv3) or any later version. You can find it here. The reason for this is that we believe in the open-source ethos and want to contribute back to the community.

Credits

  • OpenAI – for creating ChatGPT
  • shadcn-ui – for making it easy to build beautiful UIs
  • tremor.so – beautiful dashboard componenets
  • mintlify – beautiful documentation
  • screen.studio – the best video recording tool
  • vercel – for making next.js and making it easy to build powerful apps
  • Dub – for inspiring me to open-source this project
排名相邻
同类项目