Top 5.0% downloads on pypi.org
Top 3.2% dependent packages on pypi.org
Top 2.7% dependent repos on pypi.org
Top 3.7% forks on pypi.org
Top 1.4% docker downloads on pypi.org
pypi.org : graphistry
A visual graph analytics library for extracting, transforming, displaying, and sharing big graphs with end-to-end GPU acceleration
Registry
-
Source
- Documentation
- JSON
purl: pkg:pypi/graphistry
Keywords:
cugraph
, cudf
, cuml
, dask
, Databricks
, GFQL
, GPU
, Graph
, graphviz
, GraphX
, Gremlin
, igraph
, Jupyter
, Neo4j
, Neptune
, Network
, NetworkX
, Notebook
, OpenSearch
, Pandas
, Plot
, RAPIDS
, RDF
, Splunk
, Spark
, SQL
, Tinkerpop
, UMAP
, Visualization
, Torch
, DGL
, GNN
, csv
, gpu
, graph
, graph-visualization
, graphistry
, jupyter
, neo4j
, network-analysis
, network-visualization
, networkx
, pandas
, python
, rapids
, splunk
, tigergraph
, visualization
, webgl
License: BSD-3-Clause
Latest release: 5 days ago
First release: almost 2 years ago
Dependent packages: 3
Dependent repositories: 29
Downloads: 28,030 last month
Stars: 2,307 on GitHub
Forks: 215 on GitHub
Docker dependents: 2
Docker downloads: 11,720
Total Commits: 1427
Committers: 46
Average commits per author: 31.022
Development Distribution Score (DDS): 0.589
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://www.graphistry.com
Last synced: 2 days ago