https://github.com/hoshizora-project/hoshizora
:stars: Fast graph analysis engine
https://github.com/hoshizora-project/hoshizora
graph-analysis graph-processing
Last synced: 6 months ago
JSON representation
:stars: Fast graph analysis engine
- Host: GitHub
- URL: https://github.com/hoshizora-project/hoshizora
- Owner: hoshizora-project
- License: apache-2.0
- Created: 2017-06-10T09:17:18.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2018-08-04T07:12:19.000Z (almost 8 years ago)
- Last Synced: 2025-10-27T11:55:12.528Z (8 months ago)
- Topics: graph-analysis, graph-processing
- Language: C++
- Homepage: https://pypi.python.org/pypi/hoshizora
- Size: 268 KB
- Stars: 8
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# :stars: hoshizora: Fast graph analysis engine
Tutorial is [here](https://github.com/hoshizora-project/tutorial).
You can try *hoshizora* and [amanogawa](https://github.com/hoshizora-project/amanogawa) on Jupyter on Docker
(**:warning: Currently alpha version. Inner structure and APIs might be changed a lot**)
## :sparkles: Features
* Easy to use
* You can use *hoshizora* as a Python library, C++ library and CLI tool
* Extremely fast
* Full native speed
* Efficient parallel processing (Can scale to over one hundred cores)
Experimental optimizations are [here](https://github.com/amaya382/hoshizora/tree/experimental).
Note that experimental branch is unstable.
## :soon: Install
Supporting Linux and macOS
### Python library via pip
```sh
pip install hoshizora
```
### From source
Prerequisites
* Make
* CMake 3.0+
* Clang++ 3.4+
* Python 3
* \[OPT\] libnuma
#### CLI
```sh
git submodule init && git submodule update
make release
```
#### Python library
```sh
python3 setup.py install
```
## :bulb: Example
### Task: PageRank
#### Python
```python
import hoshizora as hz
result = hz.pagerank(graph_file, num_iters)
```
#### CLI
```sh
./hoshizora-cli ${graph_file} ${num_iters} > result
```
## :persevere: WIP
* [ ] Querying API
* [ ] Support dynamic graph
* [ ] APIs for Graph compaction
* [ ] Out-of-Core processing
* [ ] Tests
* [ ] Many many applications
## :green_heart: Acknowledgement
This project was supported by IPA (Mito Project)