Sketch Alternatives

sketch reviews and mentions

• Ask HN: What have you built with LLMs?
  43 projects | news.ycombinator.com | 5 Feb 2024

  We've made a lot of data tooling things based on LLMs, and are in the process of rebranding and launching our main product.

  1. sketch (in notebook, ai for pandas) https://github.com/approximatelabs/sketch

  2. datadm (open source, "chat with data", with support for the open source LLMs (https://github.com/approximatelabs/datadm)

  3. Our main product: julyp. https://julyp.com/ (currently under very active rebrand and cleanup) -- but a "chat with data" style app, with a lot of specialized features. I'm also streaming me using it (and sometimes building it) every weekday on twitch to solve misc data problems (https://www.twitch.tv/bluecoconut)

  For your next question, about the stack and deploy:

• Pandas AI – The Future of Data Analysis
  7 projects | news.ycombinator.com | 17 May 2023

  This morning I added a "Related Projects" [3] Section to the Buckaroo docs. If Buckaroo doesn't solve your problem, look at one of the other linked projects (like Mito).

  [1] https://github.com/approximatelabs/sketch

  [2] https://github.com/paddymul/buckaroo

  [3] https://buckaroo-data.readthedocs.io/en/latest/FAQ.html

• Ask HN: What's your favorite GPT powered tool?
  16 projects | news.ycombinator.com | 15 May 2023

  For GPT/Copilot style help for pandas, in notebooks REPL flow (without needing to install plugins), I built sketch. I genuinely use it every-time I'm working on pandas dataframes for a quick one-off analysis. Just makes the iteration loop so much faster. (Specifically the `.sketch.howto`, anecdotally I actually don't use `.sketch.ask` anymore)

  https://github.com/approximatelabs/sketch

• RasaGPT: First headless LLM chatbot built on top of Rasa, Langchain and FastAPI
  13 projects | news.ycombinator.com | 8 May 2023

  https://github.com/approximatelabs/lambdaprompt It has served all of my personal use-cases since making it, including powering `sketch` (copilot for pandas) https://github.com/approximatelabs/sketch

  Core things it does: Uses jinja templates, does sync and async, and most importantly treats LLM completion endpoints as "function calls", which you can compose and build structures around just with simple python. I also combined it with fastapi so you can just serve up any templates you want directly as rest endpoints. It also offers callback hooks so you can log & trace execution graphs.

  All together its only ~600 lines of python.

  I haven't had a chance to really push all the different examples out there, but most "complex behaviors", so there aren't many patterns to copy. But if you're comfortable in python, then I think it offers a pretty good interface.

  I hope to get back to it sometime in the next week to introduce local-mode (eg. all the open source smaller models are now available, I want to make those first-class)

• [D] The best way to train an LLM on company data
  7 projects | /r/MachineLearning | 29 Mar 2023

  Please look at sketch and langchain pandas/SQL plugins. I have seen excellent results with both of these approaches. Both of these approaches will require you to send metadata to openAI.

• Meet Sketch: An AI code Writing Assistant For Pandas
  1 project | /r/machinelearningnews | 1 Feb 2023

  👉 Understand your data through questions 👉 Create code from plain text Quick Read: https://www.marktechpost.com/2023/02/01/meet-sketch-an-ai-code-writing-assistant-for-pandas/ Github: https://github.com/approximatelabs/sketch

• Replacing a SQL analyst with 26 recursive GPT prompts
  5 projects | news.ycombinator.com | 25 Jan 2023

  (3) Asking for re-writes of failed queries (happens occasionally) also helps

  The main challenge I think with a lot of these "look it works" tools for data applications, is how do you get an interface that actually will be easy to adopt. The chat-bot style shown here (discord and slack integration) I can see being really valuable, as I believe there has been some traction with these style integrations with data catalog systems recently. People like to ask data questions to other people in slack, adding a bot that tries to answer might short-circuit a lot of this!

  We built a prototype where we applied similar techniques to the pandas-code-writing part of the stack, trying to help keep data scientists / data analysts "in flow", integrating the code answers in notebooks (similar to how co-pilot puts suggestions in-line) -- and released https://github.com/approximatelabs/sketch a little while ago.

• FLiP Stack Weekly for 21 Jan 2023
  19 projects | dev.to | 23 Jan 2023

  Python AI Helper https://github.com/approximatelabs/sketch

• LangChain: Build AI apps with LLMs through composability
  8 projects | news.ycombinator.com | 17 Jan 2023
• Show HN: Sketch – AI code-writing assistant that understands data content
  1 project | /r/patient_hackernews | 16 Jan 2023
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