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https://github.com/tartiflette/tartiflette
GraphQL Engine built with Python 3.6+ / asyncio
https://github.com/tartiflette/tartiflette
api asyncio graphql python sdl tartiflette
Last synced: 18 days ago
JSON representation
GraphQL Engine built with Python 3.6+ / asyncio
- Host: GitHub
- URL: https://github.com/tartiflette/tartiflette
- Owner: tartiflette
- License: mit
- Created: 2018-01-26T09:56:10.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-09-11T07:49:27.000Z (8 months ago)
- Last Synced: 2024-04-28T01:06:53.830Z (25 days ago)
- Topics: api, asyncio, graphql, python, sdl, tartiflette
- Language: Python
- Homepage: https://tartiflette.io
- Size: 6.51 MB
- Stars: 853
- Watchers: 22
- Forks: 37
- Open Issues: 21
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: docs/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: docs/CODE-OF-CONDUCT.md
Lists
- awesome-graphql - tartiflette - GraphQL Implementation, SDL First, for python 3.6+ / asyncio. (Implementations / Python)
- awesome-stars - tartiflette/tartiflette - GraphQL Engine built with Python 3.6+ / asyncio (Python)
- my-awesome-stars - tartiflette/tartiflette - GraphQL Engine built with Python 3.6+ / asyncio (Python)
- awesome-stars - tartiflette/tartiflette - GraphQL Engine built with Python 3.6+ / asyncio (Python)
- my-stars - tartiflette/tartiflette - GraphQL Engine built with Python 3.6+ / asyncio (Python)
README
[](https://sonarcloud.io/dashboard?id=tartiflette_tartiflette)
[](https://lgtm.com/projects/g/tartiflette/tartiflette/alerts/)
[](https://lgtm.com/projects/g/tartiflette/tartiflette/context:python)
**Tartiflette** is a GraphQL Server implementation built with **Python 3.7+**.
**Summary**
- [Motivation](#motivation)
- [Status](#status)
- [Usage](#usage)
- [Installation](#installation)
- [Building from source](#building-from-source)
- [HTTP server implementations](#http-server-implementations)
- [Roadmaps](#roadmaps)
- [How to contribute to the documentation?](#how-to-contribute-to-the-documentation)
- [How to run the website locally?](#how-to-run-the-website-locally)
## Motivation
[Read this blogpost about our motivations](https://medium.com/dailymotion/tartiflette-graphql-api-engine-python-open-source-a200c5bbc477)
TL; DR
We reached the limits of Graphene, we wanted to build something which met certain requirements:
* **Offers a better developer experience** that respects the Python mindset
* **Uses SDL** _(Schema Definition Language)_
* Uses **asyncio** as the sole execution engine
* Be 100% open source
## Status
**The [first milestone](/docs/roadmaps/milestone-1.md) is behind us, we are now [on the road to the milestone 2](/docs/roadmaps/milestone-2.md)**.
**DNA**
* Define the **GraphQL schema** with the brand new [SDL _(Schema Definition Language)_](https://github.com/facebook/graphql/blob/master/spec/Section%203%20--%20Type%20System.md).
* **Performance oriented:** Performance is the core of our work.
* **Simple is better than complex:** Built with [the Zen of Python](https://www.python.org/dev/peps/pep-0020/#id3) in mind. No over-engineering.
Discover Tartiflette with our fabulous tutorial on [https://tartiflette.io/docs/tutorial/getting-started](https://tartiflette.io/docs/tutorial/getting-started)
## Usage
```python
import asyncio
from tartiflette import Resolver, create_engine
@Resolver("Query.hello")
async def resolver_hello(parent, args, ctx, info):
return "hello " + args["name"]
async def run():
engine = await create_engine(
"""
type Query {
hello(name: String): String
}
"""
)
result = await engine.execute(
query='query { hello(name: "Chuck") }'
)
print(result)
# {'data': {'hello': 'hello Chuck'}}
if __name__ == "__main__":
asyncio.run(run())
```
More details on the [API Documentation](https://tartiflette.io/docs/api/engine/)
## Installation
Tartiflette is available on [pypi.org](https://pypi.org/project/tartiflette/).
While the project depends on *[libgraphqlparser](https://github.com/graphql/libgraphqlparser)*,
wheels are provided since version 1.4.0, ensuring that no system dependency is required.
To install the library:
```bash
pip install tartiflette
```
### Building from source
If you use a platform incompatible with the provided wheels, you'll need to install `cmake` to build `libgraphqlparser`
in order to install the library.
*macOS*
```bash
brew install cmake
```
*Debian/Ubuntu*
```bash
apt-get install cmake
```
## HTTP server implementations
`tartiflette` library itself is transport agnostic, but to simplify integration with existing HTTP servers, two
different libraries are available:
- [tartiflette-aiohttp](https://github.com/tartiflette/tartiflette-aiohttp): integration with `aiohttp`
- [tartiflette-asgi](https://github.com/tartiflette/tartiflette-asgi): integration with ASGI compatible HTTP servers
## Roadmaps
* [Milestone 1 _(Released)_](/docs/roadmaps/milestone-1.md)
* [Milestone 2 - **Work in progress**](/docs/roadmaps/milestone-2.md)
## How to contribute to the documentation?
As you may know, the documentation is hosted on https://tartiflette.io. This _fabulous_ website is built thanks to another amazing tool, [docusaurus](https://docusaurus.io/).
The content of the documentation is hosted in this repository, to be as close as possible to the code. You will find everything you need/want in the folder `/docs`.
### How to run the website locally?
We built a docker image for the documentation _(tartiflette/tartiflette.io on docker hub)_, which allow us to provide you an easy way to launch the documentation locally, without installing a specific version of node.
**prerequisite**:
- Docker
- Docker Compose
- Make
```bash
make run-docs
```
Every change you will make in the `/docs` folder will be automatically hot reloaded. :tada: