mito

The mitosheet package, trymito.io, and other public Mito code. (by mito-ds)

Mito Alternatives

Similar projects and alternatives to mito

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better mito alternative or higher similarity.

mito discussion

Log in or Post with

mito reviews and mentions

Posts with mentions or reviews of mito. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-23.
  • Show HN: Excel to Python Compiler
    3 projects | news.ycombinator.com | 23 May 2024
    3. Tables that translate as Pandas dataframes. We support at most one table per sheet, at the tables must be contigious. If the formulas in a column are consistent, then we will try and translate this as a single pandas statement.

    We do not support: pivot tables or complex formulas. When we fail to translate these, we generate TODO statements. We also don’t support graphs or macros - and you won’t see these reflected in the output at all currently.

    *Why we built this:*

    We did YCS20 and built an open source tool called [Mito](https://trymito.io). It’s been a good journey since then - we’ve scaled revenue and to over [2k Github stars](https://github.com/mito-ds/mito). But fundamentally, Mito is a tool that’s useful for Excel users who wanted to start writing Python code more effectively.

    We wanted to take another stab at the Excel -> Python pain point that was more developer focused - that helped developers that have to translate Excel files into Python do this much more quickly. Hence, Pyoneer!

    I’ll be in the comments today if you’ve got feedback, criticism, questions, or comments.

  • The Design Philosophy of Great Tables (Software Package)
    7 projects | news.ycombinator.com | 4 Apr 2024
    2. The report you're sending out for display is _expected_ in an Excel format. The two main reasons for this are just organizational momentum, or that you want to let the receiver conduct additional ad-hoc analysis (Excel is best for this in almost every org).

    The way we've sliced this problem space is by improving the interfaces that users can use to export formatting to Excel. You can see some of our (open-core) code here [2]. TL;DR: Mito gives you an interface in Jupyter that looks like a spreadsheet, where you can apply formatting like Excel (number formatting, conditional formatting, color formatting) - and then Mito automatically generates code that exports this formatting to an Excel. This is one of our more compelling enterprise features, for decision makers that work with non-expert Python programmers - getting formatting into Excel is a big hassle.

    [1] https://trymito.io

    [2] https://github.com/mito-ds/mito/blob/dev/mitosheet/mitosheet...

  • What codegen is (actually) good for
    2 projects | news.ycombinator.com | 28 Sep 2023
  • Pandas AI – The Future of Data Analysis
    7 projects | news.ycombinator.com | 17 May 2023
    I think the biggest area for growth for LLM based tools for data analysis is around helping users _understand what edits they actually made_.

    I'm a co-founder of a non-AI data code-gen tool for data analysis -- but we also have a basic version of an LLM integration. The problem we see with tooling like Pandas AI (in practice! with real users at enterprises!) is that users make an edit like "remove NaN values" and then get a new dataframe -- but they have no way of checking if the edited dataframe is actually what they want. Maybe the LLM removed NaN values. Maybe it just deleted some random rows!

    The key here: how can users build an understanding of how their data changed, and confirm that the changes made by the LLM are the changes they wanted. In other words, recon!

    We've been experimenting more with this recon step in the AI flow (you can see the final PR here: https://github.com/mito-ds/monorepo/pull/751). It takes a similar approach to the top comment (passing a subset of the data to the LLM), and then really focuses in the UI around "what changes were made." There's a lot of opportunity for growth here, I think!

    Any/all feedback appreciated :)

  • The hand-picked selection of the best Python libraries and tools of 2022
    11 projects | /r/Python | 26 Dec 2022
    Mito â€” spreadsheet inside notebooks
  • I made an open source spreadsheet that turns your edits into Python
    1 project | /r/programming | 26 Aug 2022
  • I made a tool that turns Excel into Python
    1 project | /r/excel | 19 Aug 2022
    You can see the open source code here.
  • I made a Spreadsheet for Python beginners that writes Python for you
    1 project | /r/learnpython | 18 Aug 2022
    Here is the Github again.
  • Learn Python through your Spreadsheet Skills
    1 project | /r/Python | 29 Jun 2022
    Mito is an open source Python package that allows the user to call an interactive spreadsheet into their Python environment. Each edit made in the spreadsheet generates the equivalent Python.
  • A Spreadsheet for Data Science that Writes Python for Every Edit
    1 project | /r/datascience | 28 Jun 2022
  • A note from our sponsor - SaaSHub
    www.saashub.com | 7 Oct 2024
    SaaSHub helps you find the best software and product alternatives Learn more →

Stats

Basic mito repo stats
19
2,286
9.9
4 days ago

mito-ds/mito is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

The primary programming language of mito is TypeScript.


Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com

Did you konow that TypeScript is
the 2nd most popular programming language
based on number of metions?