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Azimutt VS iPython

Compare Azimutt VS iPython and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Azimutt logo Azimutt

Next-Gen ERD to Design, Explore and Document real world databases (big and messy ones ^^)

iPython logo iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.
  • Azimutt Landing page
    Landing page //
    2023-08-14

If you are looking to explore and understand your database (relational or document), Azimutt is the tool you need. It's the first entity relationship diagram built to handle big database schema (up to 1000 tables) with dedicated features: search, find path and even schema analysis to keep it consistent.

  • iPython Landing page
    Landing page //
    2021-10-07

Azimutt

$ Details
freemium โ‚ฌ7.0 / Monthly (Solo)
Platforms
Web Browser
Release Date
2021 November

iPython

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Azimutt features and specs

  • User-Friendly Interface
    Azimutt offers a clean and intuitive user interface, making it easy to navigate and use for both technical and non-technical users.
  • Visualization of Database Schema
    The tool provides effective visualization options for database schemas, enabling users to better understand and manage complex databases.
  • Collaborative Features
    Azimutt supports collaboration, allowing multiple users to work together on the same database project, enhancing teamwork and productivity.
  • No Installation Required
    As a web-based application, it does not require any installation or setup, making it convenient to access from any device with internet connectivity.

iPython features and specs

  • Interactive Computing
    IPython provides a rich toolkit to help you make the most out of using Python interactively. This includes powerful introspection, rich media display, session logging, and more.
  • Ease of Use
    IPython includes features like syntax highlighting, tab completion, and easy access to the help system, which make writing and understanding code easier for users.
  • Rich Display System
    It supports rich media like images, videos, LaTeX, and HTML, making it very useful for data visualization and educational purposes.
  • Extensibility
    IPython is highly extensible and can be customized with a range of plugins, extensions, and different backends to suit various needs.
  • Enhanced Debugging
    It features enhanced debugging capabilities, including an improved traceback support and better handling of exceptions.

Possible disadvantages of iPython

  • Learning Curve
    For beginners, the extensive feature set of IPython may be overwhelming and have a steep learning curve.
  • Resource Intensive
    IPython, particularly Jupyter notebooks, can be resource-intensive, leading to slow performance on large datasets or complex computations.
  • Dependency Management
    Managing dependencies can be challenging, especially when using multiple packages in the same environment, which can lead to conflicts.
  • Limited IDE Features
    While IPython has many interactive features, it lacks some of the more advanced IDE features such as comprehensive code refactoring tools and integrated version control.
  • Exporting and Sharing
    Although you can export notebooks in various formats, sharing them in a way that preserves full interactivity can be complex compared to traditional scripts.

Analysis of iPython

Overall verdict

  • Yes, iPython is highly regarded for its flexibility, powerful features, and ability to enhance productivity in data analysis and scientific computing. It serves as an integral tool for many professionals in technical fields.

Why this product is good

  • iPython, which forms the backbone of the Jupyter ecosystem, is favored for its interactive capabilities, integration with various data science libraries, and support for visualizations. It allows seamless execution of code in a web-based environment, making it highly effective for experiments, rapid prototyping, and sharing insights.

Recommended for

  • Data Scientists
  • Researchers
  • Educators
  • Software Developers
  • Anyone interested in interactive and exploratory computing

Category Popularity

0-100% (relative to Azimutt and iPython)
Database Tools
100 100%
0% 0
Text Editors
0 0%
100% 100
Developer Tools
100 100%
0% 0
Python IDE
0 0%
100% 100

Questions & Answers

As answered by people managing Azimutt and iPython.

How would you describe the primary audience of your product?

Azimutt's answer

Azimutt is mainly targeted at developers working with databases, allowing them to easily explore and understand them by either importing the schema or connecting to a live instance.

As it's quite easy to use, we have seen other profile such as product owners, engineering managers and even CFOs using it to better understand the product they build or extract meaningful data on their own ^^

What's the story behind your product?

Azimutt's answer

Early 2021 I joined Doctolib, a health startup very successful in France, and discovered their big Ruby on Rails monolith backed by a large PostgreSQL database with more than 700 business tables (more then 1300 in total). As an architect I worked with several teams and needed to understand their models but neither Ruby, Rails or the structure.sql were very helpful for such a big app. So I looked for a tool but they all failed with such a large database, so after a few month and tens of tools tested, I decided to build my own: Azimutt. Now it has evolved a lot and we are still very active to enable new usages every months. I believe it's a solid product and quite unique โค๏ธ

Which are the primary technologies used for building your product?

Azimutt's answer

From development languages, Azimutt is built with Elm/TypeScript for the frontend, Elixir/Phoenix for the backend and PostgreSQL/S3 as storage.

What makes your product unique?

Azimutt's answer

It's the only ERD able to handle databases with many tables (>1000) nicely thanks to unique features:

  • layouts to see only the relevant tables (not all are useful for everyone)
  • smart search everywhere

It's also very unique in the sense it's made to explore and understand real world databases, from development to production with larges features:

  • database design with an intuitive DSL
  • database documentation, on any table, column or layout (markdown text and tags)
  • database analysis to make sure best practices are in place
  • innovative data exploration

Thousands of developers already love it, give it a try, we have several samples you can try right away!

Why should a person choose your product over its competitors?

Azimutt's answer

Azimutt is the all-in-one app to explore real world databases. If you look for very specialized features some competitors may be more suited, but if you want a versatile app to explore and understand your database, we believe no competitor come close to us.

  • if you have more than 50 tables, there is no match, you should be amazed by Azimutt features built for large databases
  • if you want to mix data exploration and schema exploration, it's also very unique
  • if you care about open source, visit our GitHub

Who are some of the biggest customers of your product?

Azimutt's answer

Azimutt is used at Doctolib (3000 people company) and some other french scale ups I can't disclose yet.

User comments

Share your experience with using Azimutt and iPython. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, iPython should be more popular than Azimutt. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azimutt mentions (4)

  • SQLitebrowser: First update in three years (July 2024)
    Not mine but someone showed me this : https://azimutt.app/. - Source: Hacker News / almost 2 years ago
  • SQLite Schema Diagram Generator
    I just want to get a basic overview quickly. An old colleague of mine created an interactive web app that does this. We use it internally and I find it super useful. Supports SQLite, among others: https://azimutt.app/. - Source: Hacker News / over 2 years ago
  • One Month Post Product Hunt Launch: An Honest Review of Azimutt.app launch
    Hello Dev.to community, I'm Sam, a proud part of a dedicated trio that built Azimutt.app. - Source: dev.to / about 3 years ago
  • pgAdmin Generate ERD stuck on load
    A couple of options here: - From a database. Generate ERD by connecting to your database directly. I've used this as a quick way to generate a diagram from my local or even QA DB (not prod DB for obvious security reasons). - From a schema dump file. Take a pg dump and then generate an ERD from the dump file. There are ERD tools like dbdaddy.dev and azimutt.app that support these options. Source: over 3 years ago

iPython mentions (20)

  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
  • Modern Python REPL in Emacs using VTerm
    As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโ€™m currently in the process of getting my โ€œnewโ€ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโ€™t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
  • Wanting to learn how to code, but completely lost.
    Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: about 3 years ago
  • IJulia: The Julia Notebook
    IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
  • How to "end" a loop in the REPL?
    Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
View more

What are some alternatives?

When comparing Azimutt and iPython, you can also consider the following products

DrawSQL - Easy database diagrams. Create, visualize and collaborate on your database entity relationship diagrams.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

DBDiagram.io - Free database diagrams designer for analysts & developers ๐Ÿ› 

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

TablePlus - Easily edit database data and structure

Spyder - The Scientific Python Development Environment