FSharpGephiStreamer
FSharpGephiStreamer: A focused F# connector for sending typed graph data to Gephi, not a standalone visualization app. Ranked #96 of 98 in Data Visualization Software by our editors (3.0/10); pricing: Free plan; best for F# developers streaming graph data into Gephi.
At a glance
- Editor score3.0 / 10
- PricingFree plan
- Best forF# developers streaming graph data into Gephi
- Free planYes
- Paid fromFree
- Facts checked23 Sep 2026
Where it wins
- Converts typed F# node and edge records into Gephi-compatible attributes
- Adds, updates, and removes nodes and edges through streaming functions
- Supports labels, size, color, and user-defined graph attributes
Where it doesn't
- Requires local Java, Gephi, and the Graph Streaming plugin
- Requires F# development rather than offering a standalone visual interface
- Focuses on Gephi streaming rather than charts or dashboards
Our verdict on FSharpGephiStreamer
FSharpGephiStreamer is an open-source F# library for developers who want to send graph or network data from F# into Gephi for visualization. It converts typed node and edge records into Gephi-compatible attributes, allowing F# users to work with their own data structures rather than first reshaping everything manually. The library is aimed at solo developers and small teams comfortable with F# and a local development setup; it is not a general-purpose visualization application for business users. Its free pricing and support for Windows and Linux suit a focused developer workflow.
Its central job is to stream graph changes. Developers can add nodes and edges with custom converters or simple ID mappings, update existing elements, and remove them. Attribute support includes labels, size, color, and user-defined data, so the connection can carry more than just the relationships between records. The integration is specifically Gephi and its Graph Streaming plugin: the published description says to start Gephi’s streaming server before sending data from F# Interactive. That makes this a practical fit when Gephi is already the destination for graph exploration, but not a substitute for a charting suite, dashboard builder, or broader visualization ecosystem.
The setup dependencies are an important trade-off. A local installation of Java, Gephi, and the Graph Streaming plugin is required, in addition to F# knowledge and the library itself. Documentation is the listed support channel, so teams seeking a managed service or a dedicated support workflow should consider a different tool. Choose FSharpGephiStreamer when the requirement is specifically to bridge typed F# graph data into Gephi and control node and edge updates from code. Choose a standalone visualization product instead if users need dashboards, general charting, or visualization without a local developer-oriented stack.
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FSharpGephiStreamer pricing
FSharpGephiStreamer fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Dashboard type | Not verified |
| Scheduled refresh | Not verified |
| Embedded dashboards | Not verified |
| Data sources | Not verified |
| Viewer limit | Not verified |
| Platform | Not verified |
| Deployment | Self-hosted |
| Platforms | Windows, Linux |
| Support | Docs |
| Built for | Solo, Small business (editorial estimate) |
| Integrations | 2 integrations: Gephi, Gephi Graph Streaming plugin |
| Pricing | Free plan |
| Website | csbiology.github.io |
| Facts checked | 23 Sep 2026 |
FSharpGephiStreamer integrations
FSharpGephiStreamer lists 2 integrations on its own site.
- Gephi
- Gephi Graph Streaming plugin
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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