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Appsmith VS NumPy

Compare Appsmith VS NumPy and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Appsmith logo Appsmith

Appsmith is an open source web framework for building internal tools, admin panels, dashboards, and workflows.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Appsmith Landing page
    Landing page //
    2022-07-17

Turn any datasource into an internal app in minutes. Appsmith lets you drag-and-drop UI components to build pages, connect to any API, database or GraphQL source and write logic with JavaScript objects.

  • NumPy Landing page
    Landing page //
    2023-05-13

Appsmith features and specs

  • Open Source
    Appsmith is an open-source platform, which means it's free to use. Developers can also contribute to its development and customize the platform according to their needs.
  • Easy Integration
    Appsmith allows easy integration with a variety of data sources including REST APIs, databases, and third-party services, making it highly versatile for different applications.
  • Drag-and-Drop Interface
    The platform offers a user-friendly drag-and-drop interface for building dashboards and admin panels, which reduces the time required for development.
  • Pre-built Widgets
    Appsmith comes with a collection of pre-built widgets like tables, charts, and forms, which can be directly used in applications for rapid development.
  • Community Support
    Being an open-source project, Appsmith has a strong community that can provide support, share solutions, and contribute to the platform's growth.

Possible disadvantages of Appsmith

  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve involved, especially for developers who are new to the low-code/no-code paradigm.
  • Performance
    Performance can be an issue with more complex applications or very high data loads, and it may require optimization to ensure smooth functioning.
  • Customization Limitations
    While it offers various customization options, it may not be as flexible or powerful as fully custom-built applications for highly specific requirements.
  • Limited Advanced Features
    The platform may lack some advanced features found in more mature enterprise-level tools, potentially limiting its use for very complex or specific business needs.
  • Hosting and Maintenance
    As an open-source tool, hosting and maintenance are the user's responsibility, which can be a disadvantage for those who prefer a fully managed solution.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of Appsmith

Overall verdict

  • Appsmith is generally considered a good solution for developers looking to create dynamic internal tools with minimal effort and cost. It provides a balance between ease of use and advanced functionality, making it a popular choice among startups, fast-growing companies, and teams with tight resources.

Why this product is good

  • Appsmith is an open-source internal tool builder that empowers developers to quickly create custom applications without the extensive overhead of traditional development. It is appreciated for its flexibility, allowing seamless integration with various data sources and APIs. The drag-and-drop interface and the ability to write custom JavaScript make it both user-friendly and powerful. The platform supports rapid prototyping and iteration, enabling teams to build robust applications efficiently. Additionally, the active community and comprehensive documentation contribute to a supportive development environment.

Recommended for

  • Startups and small businesses needing to develop internal tools quickly and cost-effectively.
  • Teams looking for a user-friendly yet powerful platform for building applications using existing data sources.
  • Developers who prefer open-source solutions with a supportive community and extensive customization options.
  • Organizations looking for an alternative to traditional software development for building internal dashboards and admin panels.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Appsmith videos

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NumPy videos

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Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Appsmith and NumPy)

Appsmith

NumPy

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
No Code
100 100%
No Code
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Appsmith and NumPy

Appsmith Reviews

Top 9 Low-Code Tools for 2023 for low-code development
Appsmith is a low-code platform that empowers users to build business applications and workflows without writing extensive code. It offers a visual interface for designing UIs, integrating data sources, and creating custom logic. With Appsmith, users can connect to databases, APIs, and third-party services, and build dynamic and interactive applications. Its collaborative...
Source: blog.illacloud.com
Appsmith vs ILLA Cloud: Comparing Two Low-Code Platforms
Deployment Options: Appsmith offers two deployment options: Appsmith Cloud and self-hosting. Appsmith Cloud is a free hosted service that lets developers start building their apps on any device without any installation or configuration. Self-hosting is a free option that lets developers host Appsmith on their own servers or cloud providers for more control and security.
Source: blog.illacloud.com
Appsmith vs. Tooljet: Which Low-Code Platform is Better for You?
In this blog post, we will compare two popular LCDPs for building internal tools: Appsmith and Tooljet. We will also introduce ILLA Cloud, a new and innovative LCDP that offers a viable alternative to Appsmith and Tooljet.
Source: blog.illacloud.com

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Appsmith. While we know about 122 links to NumPy, we've tracked only 6 mentions of Appsmith. 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.

Appsmith mentions (6)

  • Airplane acquired by Airtable and is shutting down
    Founder of Appsmith (https://appsmith.com) here. This is very unfortunate news. I have a lot of respect for the founders & the product. In fact I even used Airplane for a few side projects in the past. It's sad to see the product die. IMO, most folks alluding to them running out money is incorrect. I think they simply ran out of energy or the will to go on. This is very common among early stage companies. But, as... - Source: Hacker News / over 2 years ago
  • Web no-code/low-code tool recommendation? Backend+frontend+analytics and simple to learn
    As well as Appsmith & Retool. They all have generous free tiers, in my opinion. Each can be self-hosted too. Source: over 3 years ago
  • No code platform that can be self-hosted on AWS
    Hello, you can check out Appsmith. It's an open-source platform with all the features you mentioned and it's great for building business apps! Source: over 3 years ago
  • Affordable low code platform for internal tools?
    Appsmith is self hosted right now. Itโ€™s as customizable as Retool, easy as Internal, and less glitchy than Budibase. Tooljet also offers a self hosted version, but Appsmiths dev team updates improvements so much faster. Source: almost 4 years ago
  • February Round-up: New Helm Charts, Product Updates, and Collabs
    If youโ€™ve followed Appsmith for a while, you know that we can do a lot in 30 days! In the second month of 2022, we cleared a few bugs and created an all-new event called How Do I Do X, where many frequently asked questions live. Source: over 4 years ago
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NumPy mentions (122)

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What are some alternatives?

When comparing Appsmith and NumPy, you can also consider the following products

Retool - Build custom internal tools in minutes.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Budibase - What Wordpress is to websites, Budibase is to web apps. Budibase is a free and open source web app builder for creating, launching and growing web applications. Budibase eliminates repetition and dramatically reduces development time. Check it out.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Jet Admin - Build business apps really fast

OpenCV - OpenCV is the world's biggest computer vision library

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