Hacker GitHub

← All repos

graphistry/pygraphistry

View on GitHub ↗ ★ 2,577 Python

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

32 mentions on Hacker News by 3 people: 1 story, 31 comments · first 2015-11-12 · latest 2026-05-11

Mentions per year 32 mentions · busiest year 2023 (5)
20082026
  1. …how to run tests, what dimensions of correctness to look for, etc. We do a similar look here: https://github.com/graphistry/pygraphistry/blob/master/agent... This kind of thing makes me question how important Mythos is for security bug…
  2. …finance, and supply chain), and now working on the next 10X+ of visual scaling. Python version: https://github.com/graphistry/pygraphistry . It includes many of the various tricks mentioned here, like GPU hitmapping, and we helped build…
  3. …they get with so little! For coding, I actually fully take over the todo list in codex + claude: https://github.com/graphistry/pygraphistry/blob/master/ai/pr... In Louie.ai, for investigations, we're experimenting with enabling more…
  4. …level performance on cheapo GPUs just by being data parallel with high saturation per step: https://github.com/graphistry/pygraphistry/blob/master/graph... . Despite ping-ponging a ton because cudf doesn't (yet) coalesce GPU kernel calls,…
    comment by lmeyerov · 2024-10-11 · in Initial CUDA Performance Lessons
  5. …via pygraphistry, and the demo folders have a bunch of examples close to what we do in the wild: https://github.com/graphistry/pygraphistry Ex: ``` import graphistry graphistry.nodes(alerts_df).umap().plot() ``` That's smart library sugar…
  6. …the first extensions to support on-the-fly switching to more graph-native indexing as needed. Ex: https://github.com/graphistry/pygraphistry/blob/master/demos...
    comment by lmeyerov · 2024-04-16 · in How much memory does a graph take?
  7. …ready for the next rev with aggregate compute as it's becoming more important for our community: https://github.com/graphistry/pygraphistry/blob/master/demos...
  8. …like how to make it easy to explore 100,000X+ more relationships on screen than they're showing: https://github.com/graphistry/pygraphistry . First, what do graph visualizations do? - They let us see the relationships in data. The article…
    comment by lmeyerov · 2024-01-01 · in Displaying Content as a Graph
  9. We regularly use pygraphistry to generate /import => viz 100k+ entity embeddings on mobile fine: https://github.com/graphistry/pygraphistry , should be pretty easy to redo / scale . WebGL is impressively capable on even old smartphones…
    comment by lmeyerov · 2023-12-09 · in NeurIPS 2023 Posters Cluster Visualization
  10. …any other pydata (DF, csv, parquet, ...) to interactive GPU viz w all sorts of analytics built in: https://github.com/graphistry/pygraphistry#explore-any-data-...
    comment by lmeyerov · 2023-12-09 · in NetworkX – Network Analysis in Python
  11. …but we have gpu graph viz generation 1-liners for pandas/nx/igraph/cugraph/parquet/arrow @ http://github.com/graphistry/pygraphistry . If easygraph works with the rest of the pydata world, I'd hope just another 1-liner away. We're now…
  12. I appreciate the good faith attempt! https://github.com/graphistry/pygraphistry No 3d/vr/etc unfortunately, we never saw commercial demand in our segments, just looking at bigger datasets and increasingly 'wide' /…
    comment by lmeyerov · 2023-07-05 · in How to pass a first-round interview
  13. I'd be curious if someone loaded these into http://github.com/graphistry/pygraphistry and tried something like overlaying a GNN anomaly detection over the base visuals. Both parts are automated & GPU accelerated, so can probably handle…
  14. …to play with it, try "graphistry.hypergraph(pd.read_csv(' http://blah.csv'))['graph'].plot ()" in http://github.com/graphistry/pygraphistry (or just to get the ._nodes and ._edges dataframes out) Nowdays, we also do a lot with embedding…
    comment by lmeyerov · 2022-07-30 · in Why Hypergraphs? (2013)
  15. …decisions & UIs in a few lines. First out was for UMAP and we've been pushing on GNNs more recently, http://github.com/graphistry/pygraphistry . Elsewhere, we're also working on the MLOps side and some key modeling scenarios. - ... both…
    comment by lmeyerov · 2022-06-29 · in The dark side of Graph Neural Networks
  16. …then, it should work out-of-the-box with no parameters, and then all sorts of fun things to tune: https://github.com/graphistry/pygraphistry/blob/21fad42412cc...
    comment by lmeyerov · 2022-05-11 · in BERTopic: The Future of Topic Modeling
  17. …a few lines once you have a feature table, and there's a recent GH issue to automate that step too: https://github.com/graphistry/pygraphistry/blob/master/demos...
  18. The duality is super useful in practice! In the table/dataframe -> hypergraph dataframe transform @ https://github.com/graphistry/pygraphistry , we do `hypergraph(multicolumn_table, direct=True | False)['graph'].plot()` , which renders…
    comment by lmeyerov · 2021-11-23 · in Don't bring a tree to a mesh fight
  19. https://github.com/graphistry/pygraphistry + https://github.com/rapidsai/cudf if you're coming from the api / ds side, and GNNs side is more of a "let's chat!" thing for figuring out aligned collaborations (slack/email, all good!)
  20. …So it's pretty common now for data frameworks, and increasingly, DB connectors. Ex: Our client https://github.com/graphistry/pygraphistry takes a bunch of formats, but we convert to Arrow before sending to our server, we zero-copy it…
  21. We do millions of edges in the browser fine via webgl (graphistry.com / https://github.com/graphistry/pygraphistry ) . For forceatlas and other interactive & iterative analytics algs (t-sne, ...), it's hard to keep 100K+ nodes interactive…
  22. Yep -- at https://github.com/graphistry/pygraphistry , we started by making millions of nodes/edges interactive. If you use notebooks, can signup on our site and get going. The trick is we connect GPUs in the browser to GPUs in the cloud,…
  23. We made http://github.com/graphistry/pygraphistry for that sort of thing, feel free to ping for an API key! The idea is by connecting GPUs in your browser to GPUs in the cloud, we can do bigger and bigger datasets over time. We're…
    comment by lmeyerov · 2017-09-25 · in A Quick Introduction to Graphviz
  24. …GPU visual graph analytics for looking at more data at a time, our team is happy to share access to http://github.com/graphistry/pygraphistry . Likewise, investigation teams digging daily into event & entity data (security, fraud, patient…
  25. For larger graphs -- 10K nodes, 100K nodes, ... --- we built http://github.com/graphistry/pygraphistry , which leverages GPU client+cloud acceleration. We're happy to share API keys with folks doing fun things. There's a REST endpoint and…
  26. …for scenarios like the above. For the latter two use cases, a good place to get started is our API: https://github.com/graphistry/pygraphistry . Feel free to contact us at info@ if this may solve a problem for you. (And.. we're hiring!…
  27. …10K-1M things on the IPython/Jupyter side of the world, folks have been enjoying our GPU library: github.com/graphistry/pygraphistry . Feel free to contact for an API key.
  28. …be happy to share a dev key to our viz API: leo@gr...stry.com . Some examples of what's possible: https://github.com/graphistry/pygraphistry . Gets fun when you combine it with a Spark cluster and the full blockchain :)
  29. Looks great! Today after work I plan to try out version with PMI and https://github.com/graphistry/pygraphistry .
  30. …10-100X more data (and more of a focus on batteries-included data exploration), we've been building https://github.com/graphistry/pygraphistry that leverages GPGPU tech. Ping for an alpha API key :) Not to detract from Sigma: it's a great…
  31. For what it's worth, we're regularly working with 100K-1MM element graphs over at github.com/graphistry/pygraphistry , e.g., for analyzing IT operations & security events. Most tools force analysts to start from ~scratch and don't scale,…
    comment by lmeyerov · 2015-11-12 · in Visualising Networks Part 1: A Critique