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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AI observability platform for production LLM and agent systems.
| Date | Stars |
|---|---|
| 2026-07-24 | 4389 |
| 2026-07-25 | 4390 |
| 2026-07-28 | 4390 |
| 2026-07-30 | 4390 |
| 2026-07-31 | 4402 |
| 2026-08-06 | 4402 |
Today
— stars today
This week
+12 stars this week
This month
— stars this month
Momentum
47.0
growth rate 0.27%/day
# Pydantic Logfire: Know more. Build faster.
<p align="center">
<a href="https://github.com/pydantic/logfire/actions?query=event%3Apush+branch%3Amain+workflow%3ACI"><img src="https://github.com/pydantic/logfire/actions/workflows/main.yml/badge.svg?event=push" alt="CI" /></a>
<a href="https://codecov.io/gh/pydantic/logfire"><img src="https://codecov.io/gh/pydantic/logfire/graph/badge.svg?token=735CNGCGFD" alt="codecov" /></a>
<a href="https://pypi.python.org/pypi/logfire"><img src="https://img.shields.io/pypi/v/logfire.svg" alt="pypi" /></a>
<a href="https://github.com/pydantic/logfire/blob/main/LICENSE"><img src="https://img.shields.io/github/license/pydantic/logfire.svg" alt="license" /></a>
<a href="https://github.com/pydantic/logfire"><img src="https://img.shields.io/pypi/pyversions/logfire.svg" alt="versions" /></a>
<a href="https://pydantic.dev/docs/logfire/join-slack/"><img src="https://img.shields.io/badge/Slack-Join%20Slack-4A154B?logo=slack" alt="Join Slack" /></a>
</p>
From the team behind Pydantic Validation, **Pydantic Logfire** is an observability platform built on the same belief as our open-source library: that the most powerful tools can be easy to use.
What sets Logfire apart:
- **Simple and Powerful:** Logfire's dashboard is simple relative to the power it provides, ensuring your entire engineering team will actually use it.
- **Python-centric Insights:** From rich display of Python objects, to event-loop telemetry, to profiling Python code and database queries, Logfire gives you unparalleled visibility into your Python application's behavior.
- **SQL:** Query your data using standard SQL: all the control and (for many) nothing new to learn. Using SQL also means you can query your data with existing BI tools and database querying libraries.
- **OpenTelemetry:** Logfire is an opinionated wrapper around OpenTelemetry, allowing you to leverage existing tooling, infrastructure, and instrumentation for many common Python packages, and enabling support for virtually any language. We offer full support for all OpenTelemetry signals (traces, metrics and logs).
- **Pydantic Integration:** Understand the data flowing through your Pydantic Validation models and get built-in analytics on validations.
See the [documentation](https://pydantic.dev/docs/logfire/) for more information.
**Feel free to report issues and ask any questions about Logfire in this repository!**
This repo contains the Python SDK for `logfire` and documentation; the server application for recording and displaying data is closed source.
## Using Logfire
This is a very brief overview of how to use Logfire, the [documentation](https://pydantic.dev/docs/logfire/) has much more detail.
### Install
```bash
pip install logfire
```
[_(learn more)_](https://pydantic.dev/docs/logfire/get-started/#sdk)
## Authenticate
```bash
logfire auth
```
[_(learn more)_](https://pydantic.dev/docs/logfire/get-started/#instrument)
### Manual tracing
Here's a simple manual tracing (aka logging) example:
```python skip-run="true" skip-reason="blocking"
from datetime import date
import logfire
logfire.configure()
logfire.info('Hello, {name}!', name='world')
with logfire.span('Asking the user their {question}', question='age'):
user_input = input('How old are you [YYYY-mm-dd]? ')
dob = date.fromisoformat(user_input)
logfire.debug('{dob=} {age=!r}', dob=dob, age=date.today() - dob)
```
[_(learn more)_](https://pydantic.dev/docs/logfire/instrument/add-manual-tracing/)
### Integration
Or you can also avoid manual instrumentation and instead integrate with [lots of popular packages](https://pydantic.dev/docs/logfire/integrations/), here's an example of integrating with FastAPI:
```py skip-run="true" skip-reason="global-instrumentation"
from fastapi import FastAPI
from pydantic import BaseModel
import logfire
app = FastAPI()
logfire.configure()
logfire.instrument_fastapi(app)
# next, instrument your database connector, http library eExcerpt of 5,320 characters
Read on GitHub
Alex Hall · @pydantic · South Africa
755
Marcelo Trylesinski · @pydantic · Netherlands
393
Adrian Garcia Badaracco · Israel
105
Samuel Colvin · @pydantic · United Kingdom
94
David Montague · Pydantic · Malta
89
Hasan Ramezani · @pydantic · Germany
88
Bill Easton
60
Victorien · @pydantic · Netherlands
31
Christopher Samiullah · United Kingdom
28
David Hewitt · United Kingdom
23
Sydney Runkle · @langchain-ai · Morocco
22
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Laura Summers · Pydantic
18
8
Aditya Vardhan · @pydantic · India
8
8
6
5
4
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:cfd2ca314f2f3ab5, topic:llm-observability, topic:observability, topic:opentelemetry