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Update copy on docs landing page and add to readme.md (#48)
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dmontagu authored Apr 30, 2024
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11 changes: 11 additions & 0 deletions README.md
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[![license](https://img.shields.io/github/license/pydantic/logfire.svg)](https://github.com/pydantic/logfire/blob/main/LICENSE)
[![versions](https://img.shields.io/pypi/pyversions/logfire.svg)](https://github.com/pydantic/logfire)

From the team behind 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.
- **Pydantic Integration:** Understand the data flowing through your Pydantic models and get built-in analytics on validations.

See the [documentation](https://docs.pydantic.dev/logfire/) for more information.

**Feel free to report issues and ask any questions about Logfire in this repository!**
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# Introducing Pydantic Logfire

From the team behind Pydantic, **Logfire** is a new type of observability platform built on the same belief as our
From the team behind 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.

**Pydantic Logfire** is your window into the inner workings of your application,
designed with the developer's needs and experience in mind:
What sets Logfire apart:

- **Uncomplicated Observability**: Logfire's dashboard is simple relative to the power it provides, meaning your whole engineering team will use it
- **Better insights:** from rich display of Python objects to event-loop telemetry, profiling Python code and database query performance, Pydantic Logfire can give you a view into how your Python code is running that you can't get from any other observability tool
- **SQL:** query your data with pure, canonical Postgres SQL — all the control and (for many) nothing new to learn. Using Postgres also means every existing tool that can connect to Postgres can query Logfire.
- **OpenTelemetry:** Logfire is an opinionated wrapper around OpenTelemetry, meaning you can use a wealth of existing tooling and infrastructure, including instrumentation for many common Python packages, it also means you can use Logfire with virtually any language
- **Pydantic integration:** Logfire lets you understand the data that's passing through your Pydantic models and get analytics on validations out of the box
- **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.
- **Pydantic Integration:** Understand the data flowing through your Pydantic models and get built-in analytics on validations.


Pydantic Logfire will empower you to quickly instrument your applications using best practices, less code, less time, better understanding.
Pydantic Logfire helps you instrument your applications with less code, less time, and better understanding.

## Find the needle in a _stacktrace_

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