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It seems to be more powerful than langflow and flowise https://github.com/logspace-ai/langflow https://github.com/logspace-ai/langflow https://github.com/Flow
by KRAKRISMOTT 3y ago
It seems to be more powerful than langflow and flowise
https://github.com/logspace-ai/langflow https://github.com/logspace-ai/langflow
https://github.com/FlowiseAI/Flowise https://github.com/FlowiseAI/Flowise
- swyx 3y agok i need somebody to do a comparison table for us...
- priyanmuthu 3y agoWe will mostly do this comparison when we write our research paper. I can post it here when we do it.
- sdesol 3y agoI can't comment on the features, but ChainForge has some catching up to do...mind share wise. Below are some community insights for langflow, Flowise and ChainForge https://devboard.gitsense.com/logspace-ai/langflow https://devboard.gitsense.com/logspace-ai/langflow https://devboard.gitsense.com/FlowiseAI/Flowise https://devboard.gitsense.com/FlowiseAI/Flowise https://devboard.gitsense.com/ianarawjo/ChainForge https://devboard.gitsense.com/ianarawjo/ChainForge Flowise currently has the largest active community (based on GitHub data) Full Disclosure: This is my tool
- swyx 3y agoback in finance they had a saying: traders know the price of everything but the value of nothing. thats what its like to blindly compare tools by github numbers
- sdesol 3y agoI sort of know where you are coming from, but I think it is hard to discount the fact that 80 new people took the time to create 99 issues in the last 6 weeks in Flowise. No matter how you look at it, this is a strong indicator that this project has strong engagement. I'm not saying ChainForge is bad, but it will need to go against that kind of community engagement that other projects with a head start have. However, if you believe people contributing code (26) and participating in non code activity (150) in Flowise in the last 6 weeks are just novelty metrics, then yes, comparing numbers is silly.
- fatso784 3y agoWe don’t view it as a competition here. These other tools are for LLM app building, which is great, but isn’t the focus of ChainForge. Instead, we’re focused on helping devs find the right prompt, and evaluate and inspect LLM outputs. So while we might visually look similar, the goals are rather different. Some CF users, for instance, might not be app builders at all —they just want to audit models. I think both problems —prompt engineering and LLM app building —are hard, and deserve their own dedicated tools.
- brianjking 3y agoYeah, I'd love to see these tools discussed in an upcoming Latent Space episode.
- fatso784 3y agoChainForge looks similar visually, but is very different in practice. We target evaluating and inspecting LLM outputs, rather than building LLM applications. So, some things are certainly easier to do in CF, while others will certainly be easier in other tools that target LLM app building.