caveman VS mito

Compare caveman vs mito and see what are their differences.

caveman

Lightweight web application framework for Common Lisp. (by fukamachi)

mito

The mitosheet package, trymito.io, and other public Mito code. (by mito-ds)
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caveman mito
10 17
757 2,191
- 3.8%
0.0 10.0
over 1 year ago 7 days ago
Common Lisp Python
- GNU General Public License v3.0 or later
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.

caveman

Posts with mentions or reviews of caveman. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-26.
  • How do you think about version number management?
    5 projects | /r/Common_Lisp | 26 Feb 2023
  • I want to pursue this web app project - advice using CL?
    10 projects | /r/Common_Lisp | 4 Jan 2023
  • Mito: An ORM for Common Lisp
    4 projects | dev.to | 22 Aug 2022
    We are going to walk through the examples by building an online Warehouse management system using Caveman
  • Using SVGs in Common Lisp web apps with Djula
    8 projects | dev.to | 8 Aug 2022
    Djula is a port of Python's Django template engine to Common Lisp. It's the default templating engine used by the framework Caveman for building web applications
  • Is Woo still "beta quality" or prod ready?
    7 projects | /r/lisp | 3 Jun 2022
    Appreciate it. Can I ask one last thing. Between Snooze and Caveman2, which is the more current project?
  • Building Common Lisp web apps with Tailwind CSS
    3 projects | dev.to | 6 Jul 2021
    In this post, I am going to walk you through to setup Tailwind CSS for a Common Lisp web application using Caveman. If you want to know more about creating web applications using Common Lisp and Caveman, please check my previous posts on the topic.
  • Building a Rentals Listing web application in Common Lisp
    6 projects | dev.to | 5 Jul 2021
    We are going to use Caveman for scaffolding this project. Caveman is a lightweight web application framework created by Eitaro Fukamachi for Common lisp. Caveman is available on Quicklisp, so you can install it with:
  • Lisp for the Web - 5
    7 projects | dev.to | 3 Jul 2021
    Hence I chose Caveman for this project. After having been played around with and without Caveman for building web applications in Common Lisp, I found that it is the best framework out there for developing web apps in Lisp. Caveman is a lightweight web application framework created by Eitaro Fukamachi for Common lisp. Fukamachi has got some serious tools for doing web development in Lisp. Please feel free to check out his Github profile for more useful tools.
  • How to deploy Caveman applications to Heroku?
    2 projects | /r/lisp | 2 Jul 2021
    I have been trying to come up with a standard template using Caveman to deploy on Heroku. But I am struck with these issues, not quite getting it to work with the available buildpacks. Lot of the related articles are hopelessly outdated. Appreciate any help or pointers? https://github.com/fukamachi/caveman/issues/126 https://gitlab.com/duncan-bayne/heroku-buildpack-common-lisp/-/issues/6

mito

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 2023-09-28.
  • What codegen is (actually) good for
    2 projects | news.ycombinator.com | 28 Sep 2023
    3. So you do want to do code-gen, does it make sense to do it in a chat interface, or can we do better?

    As a Figma user, I'd answer these in the following way:

    > Why is it necessary to generate code in the first place?

    Because mockups aren't your production website, and your production website is written in code. But maybe this is just for now?

    I'm sure some high-up PM at Figma has this as their goal - mockup the website in Figma, it generates the code for a website (you don't see this code!), and then you can click deploy _so easily_. Who wants to bet that hosting services like Vercel etc reach out to Figma once a week to try and pitch them...

    In the meantime, while we have websites that don't fit neatly inside Figma constraints, while developers are easier to hire than good designers (in my experience), while no-code tools are continually thought of as limiting and a bad long-term solution -- Figma code export is good.

    > Why is just writing the code by the hand not the best solution?

    For the majority of us full-stack devs who have written >0 CSS but are less than masters, I'll leave this as self-evident.

    > So you do want to do code-gen, does it make sense to do it in a chat interface, or can we do better?

    In the case of Figma, if they were a new startup with no existing product and they were trying to "automation UI creation" -- v1 of their interface probably would be a "describe your website" and then we'll generate the code for it.

    This would probably suck. What if you wanted to easily tweak the output? What if you had trouble describing what you wanted, but you could draw it (ok, OpenAI vision might help on this one)? What if you had experience with existing design tools you could use to augment the AI. A chat interface is not the best interface for design work.

    ChatGPT-style code-generation is like v0.1. Github Copilot is an example of next step - it's not just a chat interface, it's something a bit more integrated into an environment that make sense in the context of the work you're doing. For design work, a canvas (literally! [2]) like Figma is well-suited as an environment for code-gen that can augment (and maybe one day replace) the programmers working on frontend. For tabular data work, we think a spreadsheet is the interface where users want to be, and the interface it makes sense to bring code-gen to.

    Any thoughts appreciated!

    [1] https://trymito.io, https://github.com/mito-ds/mito

  • 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 — spreadsheet inside notebooks
  • Mito – Excel-like interface for Pandas dataframes in Jupyter notebook
    10 projects | news.ycombinator.com | 20 May 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

    10 projects | news.ycombinator.com | 20 May 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...

  • Modern Pandas (Part 2): Method Chaining
    5 projects | news.ycombinator.com | 1 May 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.
  • Spreadsheets Are Hot–and Cranking Out Complex Code
    7 projects | news.ycombinator.com | 9 Apr 2022
  • Excel 2.0 – Is there a better visual data model than a grid of cells?
    5 projects | news.ycombinator.com | 31 Mar 2022
    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.

    I personally think that the evolution of spreadsheets is less about changing the UI, and instead making it possible for spreadsheet users to easily transition to more powerful programming tools in a natural and easy way. So I've spent the past 2 years building Mito [2].

    Mito is a spreadsheet extension to your JupyterLab environment. You can display any Pandas dataframe as a spreadsheet, and edit it in a very similar way to Excel. For each edit you make, it generates the corresponding Python code below for those edits. Practically, you can think about Mito as recording a macro, but instead of generating scummy-crummy VBA code, it generates Python.

    We currently have two types of users. 1) Excel users from a huge variety of industries who are somewhere in their journey to learning Python - and Mito helps them write Python scripts quickly and make that transition easier. 2) Python users who prefer using Mito because of it's visual interface. I pretty much only use Mito when I'm trying to pivot or graph data - some things really just are better visually, especially when you get code out that you can edit if you want!

    We're open core [3], and also sell a Pro and Enterprise versions of the tool with advanced functionality. We've been steadily growing for the past year or so, as the product has improved (first time founder here!).

    Feedback greatly appreciated!

    [1] https://naterush.io/blog/Spreadsheets-are-the-Ultimate-Progr...

    [2] https://trymito.io

    [3] https://github.com/mito-ds/monorepo

What are some alternatives?

When comparing caveman and mito you can also consider the following projects:

qgrid - An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

Mage - 🧙 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

appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.

dtale - Visualizer for pandas data structures

gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes 🚀

Pluto.jl - 🎈 Simple reactive notebooks for Julia

lisp-for-the-web - Code for lisp for the web post

lux - Automatically visualize your pandas dataframe via a single print! 📊 💡

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

github-orgmode-tests - This is a test project where you can explore how github interprets Org-mode files

mathesar - Web application providing an intuitive user experience to databases.