Sc
Scikit-LLM seamlessly integrate LLMs into scikit-learn
Scikit-LLM seamlessly integrate LLMs into scikit-learn
Scikit-LLM is an open-source library that allows to seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Fi
Fiolet – Seamlessly integrate crypto payments37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fiolet – Seamlessly integrate crypto payments
Fiolet71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Seamlessly integrate crypto payments
Payvoice51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Integrate your subscriptions with Stripe seamlessly
Ho
How we integrate Dropbox52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How we integrate Dropbox
In
Integrate LLM in Your Shell53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Integrate LLM in Your Shell
MakeNanoWork59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Seamlessly integrate Nano payments into your application
Sl
Sllm.nvim – Integrate Simon’s LLM cli into Neovim (500 LOC Lua)60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sllm.nvim – Integrate Simon’s LLM cli into Neovim (500 LOC Lua)
Explorium MCP84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Integrate B2B data to any LLM in minutes
Be
BerriAI – Monitor Hallucinations in LLMs (Sentry for LLM Apps)66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
BerriAI – Monitor Hallucinations in LLMs (Sentry for LLM Apps)
GP
GPTCache – Redis for LLMs69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GPTCache – Redis for LLMs