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mito-ds
mito
Jupyter Notebook2022–2024
mito-ds / mito

mito

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

Data & DatabasesScience & EngineeringAI & Machine LearningProductivityCommunication & Social
Explore on GitHubRead Hacker News discussions
5Distinct people
18Mentions
1Explicit recommenders
2.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

Thanks for posting! I love the topic - I've written before [1] about how I think spreadsheets are the most popular programming paradigm ever, we just don't talk about it much.…

narush used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:49:33 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month18 dated mentions

Observed mentions: 2022-03-15 15:02:23 UTC to 2024-05-23 17:40:20 UTC.

02462022-03-01 00:00:00 UTC to 2022-04-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsMar 20222022-04-01 00:00:00 UTC to 2022-05-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 7 mentions; 0 submissions, 7 comments2022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsApr 20232023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-01 00:00:00 UTC to 2023-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-10-01 00:00:00 UTC to 2023-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-03-01 00:00:00 UTC to 2024-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-01 00:00:00 UTC to 2024-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Mar 20222022-03-01 00:00:00 UTC2022-04-01 00:00:00 UTC202
Apr 20222022-04-01 00:00:00 UTC2022-05-01 00:00:00 UTC202
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC707
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC000
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC000
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC000
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC211
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC000
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC000
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC000
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC101
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC000
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC000
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC101
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC000
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC000
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC000
Sep 20232023-09-01 00:00:00 UTC2023-10-01 00:00:00 UTC101
Oct 20232023-10-01 00:00:00 UTC2023-11-01 00:00:00 UTC000
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC000
Dec 20232023-12-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
Jan 20242024-01-01 00:00:00 UTC2024-02-01 00:00:00 UTC000
Feb 20242024-02-01 00:00:00 UTC2024-03-01 00:00:00 UTC000
Mar 20242024-03-01 00:00:00 UTC2024-04-01 00:00:00 UTC000
Apr 20242024-04-01 00:00:00 UTC2024-05-01 00:00:00 UTC101
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC110

What Hacker News says

7 sources
narush·May 20, 2022
Mito is open source, but using Pro features does actually require a Pro or enterprise license. You can check out this callout in the license [1], as well as the restrictions on Mito Pro features here [2]. We're in the process of fixing up the upgrade to Pro process a bit... as you can tell... :) You can of course fork Mito and turn off telemetry as long as you open source your changes! Go for it - happy to hop on a call and help you get set up with the codebase, if you want. Yay open source! [1] https://github.com/mito-ds/monorepo/blob/974091b455950c6c50e... [2] https://github.com/mito-ds/monorepo/blob/dev/mitosheet/mitos...
In Mito – Excel-like interface for Pandas dataframes in Jupyter notebook
narush·May 20, 2022
Yeah, we've thought a bit about a plugin API - for the reasons you say, I think it would be an awesome feature to open up to teams! Any tips on going about it? No need to share the secret sauce, unless you want :P To be totally honest, we're not architected super well to support plugins currently. The big challenge would be allowing users to specify this plugin in pure Python (seems like we want this) - but we think that hand-coded UIs outperform autogenerated ones for now. We've been thinking about how to do better though... maybe soon. Of course, if Mito is missing features, we're open source [1] -- all contributions are welcome! Also feel free to open an issue and we can discuss :) [1] https://github.com/mito-ds/monorepo
In Mito – Excel-like interface for Pandas dataframes in Jupyter notebook
aarondia·May 20, 2022
Mito is licensed [1] under the AGPL liscence. The TLDR of the license is that you can use, distribute, and modify Mito for free, but any modifications that you make need to be shared back with the Mito community. There is an additional version of Mito, Mito Pro, that is licensed under a different license that provides access to advanced functionality only if you are paying for a Mito Pro / Enterprise subscription. [1] https://github.com/mito-ds/monorepo/blob/dev/LICENSE [2] https://github.com/mito-ds/monorepo/blob/dev/mitosheet/src/p...
In Mito – Excel-like interface for Pandas dataframes in Jupyter notebook
aarondia·May 20, 2022
One of the creators of Mito, here. Thanks for your feedback. I wanted to share a couple of nuggets about Mito that have been helpful in talking about this with other users. 1. The core Mito product is open source. You can see our GitHub here [1]. We also have a pro version that has some additional, code visible, but non-open source features. The way that we think about which features belong in which version of the product is as following: Features that are needed to just get any average analysis done are open source features. On the other hand, features that are specifically useful in an organization -- connecting to company databases, formatting / styling data and graphs for a presentation, etc. -- are pro features. So if you are a team that is relying on our pro features, you're helping support the longevity & progress of Mito. If you a
Read the rest
re not one of those users and using the open source version, then you will always have access to Mito (and can even help improve it!). Of course the line between what features are specifically helpful in an organization and what feature are needed for an average analysis is a bit blurry, and is a moving target as we continue to expand Mito's offering. 2. Mito is designed specifically to not force users to make a big 'switch'. I've commented this elsewhere in this thread, but just to recap: Because Mito is an extension to Juptyer and because we generate python code for every edit you make, Mito is designed to improve your existing workflow instead of lock you into a new system. Many Mito users use Mito as a starting point! They do as much of their analysis as they can in the Mito spreadsheet and then continue writing more customized Python code to finish up their work. Not requiring a big switch is nice for the user and its nice for Mito too! Lots of large companies have been able to get up and running with Mito in 30 minutes because it fits into their data stack. Anyways, not that these are the only two reasons you might feel uneasy about adopting Mito, but at least wanted to share why the switch to Mito might be less scary than switching to other tools. [1] https://github.com/mito-ds/monorepo
In Mito – Excel-like interface for Pandas dataframes in Jupyter notebook
jacobdi·May 1, 2022
My team has been trying to modernize pandas from a different tact. Regardless of struggle with the syntax, it seems Pandas is very sticky, and we don't predict much migration to other data science languages. Instead of refining the syntax, we have combined it with a spreadsheet GUI (https://github.com/mito-ds/monorepo). Here, we worry less about writing perfect syntax ourselves, and let the GUI write the code for functions like pivot tables and merges that work well visually.
In Modern Pandas (Part 2): Method Chaining

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