Software Alternatives, Accelerators & Startups
Register | Login

Micro Python VS Datapane

Compare Micro Python VS Datapane and see what are their differences

ASocks
Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price. featured
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Micro Python logo Micro Python

Python for microcontrollers

Datapane logo Datapane

Datapane is an API-first platform for building reporting and BI tools using Python.
  • Micro Python Landing page
    Landing page //
    2023-03-16
  • Datapane Landing page
    Landing page //
    2023-09-10

Micro Python features and specs

  • Lightweight
    MicroPython is designed to be a streamlined version of Python, optimized for microcontrollers and small embedded systems. It has a smaller footprint than full Python, making it ideal for constrained environments.
  • Python Compatibility
    MicroPython is largely compatible with standard Python (Python 3.x), which allows developers who are familiar with Python to easily adapt to MicroPython for embedded applications.
  • Real-Time Capabilities
    MicroPython supports real-time operating systems and can handle tasks that require precise timing, making it suitable for controlling hardware directly.
  • Active Community
    MicroPython has a growing community of developers and enthusiasts who contribute to its development, provide support, and share resources and libraries.
  • Cross-Platform Support
    MicroPython can run on a wide range of hardware platforms, including popular boards like ESP8266, ESP32, and Raspberry Pi Pico, offering flexibility for developers.

Possible disadvantages of Micro Python

  • Limited Library Support
    Not all Python libraries are available in MicroPython, and some may require re-implementation or adaptation to work within the constraints of microcontrollers.
  • Performance Constraints
    Due to its lightweight nature and the limited resources of typical target devices, MicroPython may not perform as well as standard Python in terms of speed and processing power.
  • Learning Curve for Hardware Interfacing
    Developers who are new to embedded systems may face a learning curve when it comes to hardware interfacing and understanding the limitations and capabilities of microcontrollers.
  • Memory Limitations
    Microcontrollers have significantly less memory than computers, which can limit the complexity of programs that can be run using MicroPython.
  • Fragmented Development Environment
    Compared to standard Python, the tools and IDE support for MicroPython can be less mature and more fragmented, which may make development more challenging.

Datapane features and specs

  • Easy Report Generation
    Datapane simplifies the process of creating and sharing interactive reports using Python, allowing users to convert Python scripts and Jupyter notebooks into dynamic reports easily.
  • Integration with Python
    Datapane integrates seamlessly with Python, which is beneficial for data scientists and analysts who already utilize Python in their data pipelines and analyses.
  • Interactive Elements
    Reports can include interactive elements such as plots, tables, and controls, providing a more engaging way to present complex data insights.
  • Deployment Options
    Datapane offers multiple deployment options, including a cloud service for easy sharing and collaboration, as well as the ability to host on-premises or on private infrastructure.
  • Privacy and Security
    Users concerned about data privacy and security can choose to deploy Datapane on their infrastructure, maintaining control over their data.

Possible disadvantages of Datapane

  • Learning Curve
    Users not familiar with Python or scripting may find it challenging to get started with Datapane, as it requires coding knowledge for report creation.
  • Limited to Python
    Organizations not using Python heavily in their workflows may find Datapane less adaptable, as it primarily targets Python users.
  • Cost Considerations
    Depending on the chosen deployment and scale, there might be cost implications, particularly for the cloud-hosted version of Datapane.
  • Feature Limitations
    Some advanced customization or feature requirements might exceed the capabilities of Datapane, necessitating the use of additional tools or services.

Micro Python videos

No Micro Python videos yet. You could help us improve this page by suggesting one.

Add video

Datapane videos

+ Add

Datapane Quick Overview

Category Popularity

0-100% (relative to Micro Python and Datapane)

Micro Python

Datapane

Education
100 100%
Education
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Micro Python and Datapane. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Micro Python seems to be a lot more popular than Datapane. While we know about 81 links to Micro Python, we've tracked only 8 mentions of Datapane. 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.

Micro Python mentions (81)

  • Ask HN: What less-popular systems programming language are you using?
    I'll link to it because many people don't know a version of Python runs on microcontrollers: https://micropython.org/. - Source: Hacker News / 3 months ago
  • Tactility: OS for the ESP32 Microcontroller Family
    I'm personally working on something like this for the ESP32, but written on top of micropython [1]. A few things are written in C such as the display driver, but otherwise most things are in micropython. We chose the T-Watch 2020 V3 microphone variant as the platform [2]. Our objective is to build a modern PDA device via a mostly stand-alone watch that can be synced across devices (initially the Linux desktop). We... - Source: Hacker News / 4 months ago
  • Porting Python to a terrible $3 smartwatch [video]
    For context > MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments. https://micropython.org/. - Source: Hacker News / 11 months ago
  • RustPython
    Just putting my hand up to say that MicroPython is awesome (and runs on the RP2040). https://micropython.org. - Source: Hacker News / over 1 year ago
  • about microprocessor
    If you really want to engage in the travesty that is shoehorning a high level scripting language into an environment that has 512 bytes of RAM and less clock cycles than an electric toothbrush, there is micropython. Source: over 1 year ago
View more

Datapane mentions (8)

  • How do you guys share R/Python based analyses to business stakeholders?
    PowerPoint will do. If there isn't too much data I will sometimes make a quick datapane html dashboard that I can also send their way. They like that, the plotly plots can be interactive so they can poke around. Nice quick solution that's easy to share. Source: over 2 years ago
  • how do i convince data scientists to actually use my power bi dashboards?
    If you're going that route, check out Datapane - it's an open-source Python framework we're working on to create interactive reports from Plotly, Pandas, etc. Source: almost 3 years ago
  • Ask HN: Who is hiring? (April 2022)
    Datapane | https://datapane.com | Remote (UK & Europe) Datapane is the frontend for the data science ecosystem. Our open-source library helps data scientists use the tools they love to create reports, dashboards, and apps for non-technical end-users. We are backed by some of the top investors in the world, and have grown to be the most popular way to create and share data science reports. We are proud to put the... - Source: Hacker News / about 3 years ago
  • Ask HN: Who is hiring? (January 2022)
    Datapane | https://datapane.com | Remote (Europe) Happy New Year! Datapane is the world's most popular way to create data science reports using Python. Our open-source framework is used by thousands of data scientists to create interactive reports, and our API-first platform serves over 50,000 people a month. We're a technical, remote team based in the UK and founded by YC alum and compsci PhDs. We're just closing... - Source: Hacker News / over 3 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Datapane - API for building interactive reports in Python and deploying Python scripts and Jupyter Notebooks as self-service tools. - Source: dev.to / almost 4 years ago
View more

What are some alternatives?

When comparing Micro Python and Datapane, you can also consider the following products

Mode Python Notebooks - Exploratory analysis you can share

ReportServer - In Reporting Services, URLs are used to access the Report Server Web service and the web portal. Before you can use either application, you must configure at least one URL each for the Web service and the web portal.

Invent With Python - Learn to program Python for free

Combit - Reporting tool for software developers to integrate reporting functions in desktop, web and cloud applications. Made for development environments such as .NET, C#, Delphi, C++, ASP.NET, ASP.NET MVC, .NET Core etc. Supports a variety of data sources.

Full Stack Python - Explains programming language concepts in plain language.

NextReports - It has a designer, a server and a simple api engine.

Loading...