It definitely fulfilled my expectations for the joke part :))
Regardless, there is quite a bit of source available in the git repo so it shows it can be done even though it chugs quite a bit.
Our visual graph AI tool includes a GPU-accelerated take on gephi's flows and puts on the web, including a free GPU-accelerated tier with no-code UIs, embedding & control APIs (python, js, react, arrow), and deep pydata integration (Jupyter, RAPIDS, dashboarding like databricks & streamlit, ...): www.graphistry.com/get-started .
It's used a lot by folks doing fraud, IT, social, security, supply chains, anti-misinfo, finance, bio, etc. Mostly data scientists today, and as we have been launching no-code & low-code features, a diverse broader analyst community has been growing, who has been inspiring.
Gephi got a bit frozen in time due to the usual problem of struggling for post-phd sustainability by not building it in: I'm a big fan of the founders and their work, and just like Graphviz (att research canceled it), it was painful watching them having to leave something so cool. We prioritized sustainability as an engine for reliable & growable OSS, which has worked (ex: you may have heard of Apache Arrow, which we helped kick off). So our free SaaS tier aims to include everything in Gephi, and a lot missing in it for modern use: GPU accel, DB connectors & visual playbooks (already in self-hosted), visual graph ETL, and launching a bunch of graph AI stuff (entity linking, event scoring, recommendations, ... by automating UMAP and graph neural network flows). Likewise, we have + are steadily launching things not in Gephi yet you'd expect of modern team+enterprise tools like sharing, RBAC, SSO, daily-scanned docker/k8s/AMIs, etc. We are aiming for a model basically somewhere between gitlab and GitHub, and as we hit more sustainability, keep biasing for more free & OSS.
The good news is, years later.. it worked! We have reached sustainable growth & measurably best-in-class performance, so we are now growing, releasing more (including another big OSS visual auto-AI release just this week), and overall moving to next phases. If you like webgl, JS, or sales engineering (same industries you'd see in graph DBs), we are hiring for multiple roles in visual graph AI, and I'd very much love to chat :)
jacomyma|3 years ago
dpoljak|3 years ago
lmeyerov|3 years ago
Our visual graph AI tool includes a GPU-accelerated take on gephi's flows and puts on the web, including a free GPU-accelerated tier with no-code UIs, embedding & control APIs (python, js, react, arrow), and deep pydata integration (Jupyter, RAPIDS, dashboarding like databricks & streamlit, ...): www.graphistry.com/get-started .
It's used a lot by folks doing fraud, IT, social, security, supply chains, anti-misinfo, finance, bio, etc. Mostly data scientists today, and as we have been launching no-code & low-code features, a diverse broader analyst community has been growing, who has been inspiring.
Gephi got a bit frozen in time due to the usual problem of struggling for post-phd sustainability by not building it in: I'm a big fan of the founders and their work, and just like Graphviz (att research canceled it), it was painful watching them having to leave something so cool. We prioritized sustainability as an engine for reliable & growable OSS, which has worked (ex: you may have heard of Apache Arrow, which we helped kick off). So our free SaaS tier aims to include everything in Gephi, and a lot missing in it for modern use: GPU accel, DB connectors & visual playbooks (already in self-hosted), visual graph ETL, and launching a bunch of graph AI stuff (entity linking, event scoring, recommendations, ... by automating UMAP and graph neural network flows). Likewise, we have + are steadily launching things not in Gephi yet you'd expect of modern team+enterprise tools like sharing, RBAC, SSO, daily-scanned docker/k8s/AMIs, etc. We are aiming for a model basically somewhere between gitlab and GitHub, and as we hit more sustainability, keep biasing for more free & OSS.
The good news is, years later.. it worked! We have reached sustainable growth & measurably best-in-class performance, so we are now growing, releasing more (including another big OSS visual auto-AI release just this week), and overall moving to next phases. If you like webgl, JS, or sales engineering (same industries you'd see in graph DBs), we are hiring for multiple roles in visual graph AI, and I'd very much love to chat :)