This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 0.1.71 instead.
Reason given by maintainers: Replaced by new zef 0.2+ (different project)
A data-oriented toolkit for graph data
versioned graphs + streams + query using Python + GraphQL
Description
Zef is an open source, data-oriented toolkit of modules for graph data. It gives Python developers more power and flexibility with graph data. Zef consists of an immutable, in-memory database, versioned graphs, data streams, composable lazy operators, effects handling, and GraphQL support. You can pick and choose the modules you need for your project.
If any of these apply to you, Zef might help:
- I need a graph data model that's more powerful than NetworkX but easier than Neo4j
- I need to "time travel" and access past states easily
- I like Datomic but prefer something open source that feels like working with local data structures
- I don't want to learn a new query language like Cypher or GSQL (I just want to use Python)
- I need a GraphQL API that's easy to spin up and close to my data model
- I want an easy and visible way to compose functions into pipelines with subscriptions
Features
- in-memory, immutable database
- fully versioned graphs
- work with your data like local data structures
- no separate query language
- no ORM
- query and transform data using Python with composable lazy operators
- GraphQL API with low impedance mismatch to data model
- data streams and subscriptions
- automatically store, sync, distribute graphs securely with ZefHub
Status
Zef is currently in Public Alpha.
- Private Alpha: Testing Zef internally and with a closed group of users.
- Public Alpha: Anyone can use Zef but please be patient with very large graphs!
- Public Beta: Stable enough for most non-enterprise use cases.
- Public: Stable for all production use cases.
Installation
The platforms we currently support are 64-bit Linux and MacOS. The latest version can be installed via the PyPI repository using:
pip install zef
This will attempt to install a wheel if supported by your system and compile from source otherwise. See INSTALL for more details if compiling from source.
Check out our installation doc for more details about getting up and running once installed.
Using Zef
Here's some quick points to get going. Check out our Quick Start and docs for more details.
💆 Get started 💆
from zef import * # you'll see with our functional operators why we violate PEP in the first line
from zef.ops import *
g = Graph() # create an empty graph
🌱 Add some data 🌱
p1 = ET.Person | g | run # add an entity to the graph
(p1, RT.FirstName, "Yolandi") | g | run # add "fields" via relations triples: (source, relation, target)
🐾 Traverse the graph 🐾
p1 | Out[RT.FirstName] # one hop: step onto the relation
p1 | out_rel[RT.FirstName] # two hops: step onto the target
⏳ Time travel ⌛
p1 | time_travel[-2] # move reference frame back two time slices
p1 | time_travel[Time('2021 December 4 15:31:00 (+0100)')] # move to a specific date and time
👐 Share with other users (via ZefHub) 👐
g | sync[True] | run # save and sync all future changes on ZefHub
# ---------------- Python Session A (You) -----------------
g | uid | to_clipboard | run # uid is used to retrieve a graph uid
# ---------------- Python Session B (Friend) -----------------
graph_uid: str = '...' # uid copied from Slack/WhatsApp/email/etc
g = Graph(graph_uid)
g | now | all[ET] | collect # see all entities in the latest graph slice
🚣 Choose your own adventure 🚣
- Basic tutorial of Zef
- Import data from CSV
- Import data from NetworkX
- Set up a GraphQL API
- Use Zef graphs in NetworkX
- Add Zef to a project and use the functional operators (doc not yet complete)
📌 A note on ZefHub 📌
Zef is designed so you can use it locally and drop it into any existing project. You have the option of syncing your graphs with ZefHub, a service that stores, syncs, and distributes graphs automatically (and the company behind Zef). ZefHub makes it possible to share graphs with other users and see changes live, by memory mapping across machines in real-time!
You can create a ZefHub account for free which gives you full access to storing and sharing graphs forever. For full transparency, our long-term hope is that many users will get value from Zef or Zef + ZefHub for free, while ZefHub power users will pay a fee for added features and services.
Roadmap
We want to make it incredibly easy for developers to build fully distributed, reactive systems with consistent data and cross-language (Python, C++, Julia) support. If there's sufficient interest, we'd be happy to share a public board of items we're working on.
Contributing
Thank you for considering contributing to Zef! We know your time is valuable and your input makes Zef better for all current and future users.
To optimize for feedback speed, please raise bugs or suggest features directly in our community chat https://zef.chat.
Please refer to our CONTRIBUTING file and CODE_OF_CONDUCT file for more details.
License
Zef is licensed under the Apache License, Version 2.0 (the "License"). You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Dependencies
The compiled libraries make use of the following packages:
asio(https://github.com/chriskohlhoff/asio)JWT++(https://github.com/Thalhammer/jwt-cpp)Curl(https://github.com/curl/curl)JSON(https://github.com/nlohmann/json)Parallel hashmap(https://github.com/greg7mdp/parallel-hashmap)Ranges-v3(https://github.com/ericniebler/range-v3)Websocket++(https://github.com/zaphoyd/websocketpp)Zstandard(https://github.com/facebook/zstd)pybind11(https://github.com/pybind/pybind11)pybind_json(https://github.com/pybind/pybind11_json)
1 maintainer
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