TaskingAI VS leaptable

Compare TaskingAI vs leaptable and see what are their differences.

leaptable

Reframe - The fastest way to build, deploy, and manage LLM-powered agents on tabular data (dataframes, SQL tables and Spreadsheets). [Moved to: https://github.com/peterwnjenga/reframe] (by peterwnjenga)
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TaskingAI leaptable
1 3
4,837 162
26.7% -
9.4 10.0
4 days ago 8 months ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TaskingAI

Posts with mentions or reviews of TaskingAI. We have used some of these posts to build our list of alternatives and similar projects.

leaptable

Posts with mentions or reviews of leaptable. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-15.
  • AI and the End of Programming
    1 project | news.ycombinator.com | 19 Sep 2023
    As the parent comment says, LLMs are very good at giving plausible answers. Without checking each cell, then the data you eventually output becomes suspect.

    We've been trying to solve this problem at Leaptable (https://leaptable.co/). The crux is that while LLMs are still a black box, transparency in the way AI Agents interact with LLMs is key. For instance, seeing the outputs of each step in a chain-of-thought sequence helps debug common fallacies in the way the LLMs reason and built trust.

  • Textual Adds a Command Palette
    1 project | news.ycombinator.com | 16 Sep 2023
    This is very cool and I can see how it'd be helpful for users. How did you arrive at this feature? Slash command's discoverability is key. The commands serve as documentation and hints. Additionally, love the fact that users can create customized commands as shortcuts for frequent workflows or other logic. Reduces repetitive clicking/navigating.

    As the builder of LeapTable (https://github.com/peterwnjenga/leaptable), an open-source low-code database powered by AI agents, one of the first pieces of feedback I received from early users was the desire for slash commands similar to Notion.

    After evaluating different options, I settled on incorporating PlateJS (https://platejs.org/docs/mention) to enable @mention-style slash commands in LeapTable's React-based interface.

    PlateJS proved to be a great fit for easily bringing robust slash command capabilities into our webapp. The @mention commands allow for convenient execution of actions, integration with external services, and automation workflows.

    For any other React developers looking to incorporate flexible, Notion-style slash commands into their webapps, I highly recommend checking out PlateJS. It provided the perfect building block for enabling rich slash command interactions in LeapTable.

  • Unicorn Startup Airtable Lays Off 27% of Firm, Shifts Focus to Big Clients
    3 projects | news.ycombinator.com | 15 Sep 2023
    Baserow is cool. We evaluated it within our company a few months ago and eventually settled for Nocodb (https://nocodb.com/) - easy to run, more mature.

    Leaptable is another Open Source framework like Airtable I saw recently with support for AI Agents. https://github.com/peterwnjenga/leaptable

What are some alternatives?

When comparing TaskingAI and leaptable you can also consider the following projects:

open-assistant-api - The Open Assistant API is a ready-to-use, open-source, self-hosted agent/gpts orchestration creation framework, supporting customized extensions for LLM, RAG, function call, and tools capabilities. It also supports seamless integration with the openai/langchain sdk.

nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative

evadb - Database system for AI-powered apps

llm_agents - Build agents which are controlled by LLMs

raptor - The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

vektor - a mini vector database implementation that intends to be educational and interpretable

refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

grist-core - Grist is the evolution of spreadsheets.

LinkedInGPT - Skynet

docarray - Represent, send, store and search multimodal data

DemoGPT - Create 🦜️🔗 LangChain apps by just using prompts🌟 Star to support our work! | 只需使用句子即可创建 LangChain 应用程序。 给个star支持我们的工作吧!