SaaSHub helps you find the best software and product alternatives Learn more โ
Mito Alternatives
Similar projects and alternatives to mito
-
budibase
Budibase is an open-source low code platform that helps you build internal tools in minutes ๐
-
InfluxDB
InfluxDB โ Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
-
github-orgmode-tests
This is a test project where you can explore how github interprets Org-mode files
-
appsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
-
-
-
-
Mathesar
Mathesar is an 100% open source collaborative web application that empowers users of all technical skill levels to view, edit, query, and collaborate on PostgreSQL data in an intuitive spreadsheet-like interface. It has native database-level access control, is self hosted and deployed in minutes, and works directly with Postgres objects without extra abstractions.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
SheetJS js-xlsx
๐ SheetJS Spreadsheet Data Toolkit -- New home https://git.sheetjs.com/SheetJS/sheetjs
-
perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
-
-
-
-
buckaroo
Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCode Notebooks
-
Glide Data Grid
๐ Glide Data Grid is a no compromise, outrageously react fast data grid with rich rendering, first class accessibility, and full TypeScript support.
-
-
prosto
Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
-
-
-
Mage
๐ง The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
mito discussion
mito reviews and mentions
-
Show HN: Excel to Python Compiler
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 donโt support graphs or macros - and you wonโt 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). Itโs been a good journey since then - weโve scaled revenue and to over [2k Github stars](https://github.com/mito-ds/mito). But fundamentally, Mito is a tool thatโs 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!
Iโll be in the comments today if youโve got feedback, criticism, questions, or comments.
-
The Design Philosophy of Great Tables (Software Package)
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
-
Pandas AI โ The Future of Data Analysis
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
Mito โ spreadsheet inside notebooks
- I made an open source spreadsheet that turns your edits into Python
-
I made a tool that turns Excel into Python
You can see the open source code here.
-
I made a Spreadsheet for Python beginners that writes Python for you
Here is the Github again.
-
Learn Python through your Spreadsheet Skills
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
-
A note from our sponsor - SaaSHub
www.saashub.com | 12 Jun 2025
Stats
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 Jupyter Notebook.