Software Alternatives, Accelerators & Startups

RAWGraphs VS API Bakery

Compare RAWGraphs VS API Bakery and see what are their differences

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RAWGraphs logo RAWGraphs

RAWGraphs is an open source app built with the goal of making the visualization of complex data...

API Bakery logo API Bakery

Backend code generator for backend API services - create your next backend in seconds
  • RAWGraphs Landing page
    Landing page //
    2022-06-16
  • API Bakery Landing page
    Landing page //
    2022-09-15

RAWGraphs features and specs

  • User-Friendly Interface
    RAWGraphs provides an intuitive drag and drop interface, making it accessible for users with various technical skills.
  • Open Source
    Being open source, RAWGraphs allows for customization and community contributions, promoting transparency and flexibility.
  • Supports Multiple Data Formats
    RAWGraphs supports a variety of input formats like CSV, TSV, JSON, etc., enhancing its adaptability to different data sources.
  • Extensive Visualization Types
    Offers a wide range of visualization types such as bar graphs, scatter plots, and network graphs, catering to diverse analytical needs.
  • No Installation Required
    As a web-based tool, it does not require any installation, making it easy to access and use anywhere with an internet connection.
  • Export Options
    Allows exporting visualizations in vector (SVG) and raster (PNG) formats, which is valuable for high-quality reporting and presentations.

Possible disadvantages of RAWGraphs

  • Limited Interactivity
    Visualizations created with RAWGraphs are generally static, lacking advanced interactive features found in other tools.
  • Performance with Large Datasets
    May struggle with performance issues when handling very large datasets, which can limit its use for extensive data analytics.
  • Learning Curve for Advanced Features
    While basic functionalities are user-friendly, leveraging advanced features and customizations may require a steeper learning curve.
  • Dependency on Internet
    As a web-based application, it requires an internet connection to function, which can be a limitation in restricted or offline environments.
  • Limited Data Manipulation
    Provides basic data manipulation features, but lacks the depth and complexity available in specialized data processing tools.
  • Support and Documentation
    As an open-source project, it may not have the extensive support and documentation available with commercial visualization tools.

API Bakery features and specs

  • Ease of Use
    API Bakery simplifies the process of API generation through its user-friendly interface, making it easier for users to create APIs without extensive programming knowledge.
  • Time-Saving
    The platform automates much of the API development process, significantly reducing the time required to build and deploy APIs.
  • Customization
    Users have the flexibility to customize API endpoints according to their specific needs, allowing for tailored solutions that fit particular use cases.
  • Scalability
    API Bakery facilitates scalable API solutions that can grow alongside a business, supporting additional features and increased demand as needed.
  • Integration
    The platform supports integration with various technologies and services, enabling seamless connectivity with existing systems and tools.

Possible disadvantages of API Bakery

  • Cost
    Depending on the features and scale required, the cost of API Bakery may be higher than traditional development methods, especially for smaller projects.
  • Limited Control
    Users may experience limited control over the generated API, as the tool may impose constraints that don't align with all developer preferences or specific use cases.
  • Dependency
    Relying on a third-party service for critical API infrastructure can introduce dependency risks if the platform experiences downtime or issues.
  • Complex Use Cases
    For highly complex or unique API requirements, the automated solutions offered by API Bakery may lack the necessary flexibility or depth.
  • Learning Curve
    While designed for ease of use, some users may still face a learning curve in adapting to the platform's specific workflows and features.

Analysis of RAWGraphs

Overall verdict

  • Yes, RAWGraphs is a good tool for creating data visualizations due to its ease of use, versatility, and robust support for different data types and outputs.

Why this product is good

  • RAWGraphs is considered a good data visualization tool because it is open-source, versatile, and easy to use. It allows users to create a wide variety of charts and visualizations without needing extensive coding knowledge. Its interface is intuitive and facilitates the quick transformation of data sets into visually compelling graphics. Furthermore, it supports multiple formats for data input and export, making it flexible for various project needs.

Recommended for

  • data analysts
  • journalists
  • researchers
  • educators
  • students
  • designers who need to create visualizations without in-depth coding skills.

RAWGraphs videos

RawGraphs Walkthrough

API Bakery videos

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Category Popularity

0-100% (relative to RAWGraphs and API Bakery)
Data Visualization
100 100%
0% 0
Developer Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Backend Development
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare RAWGraphs and API Bakery

RAWGraphs Reviews

Top 10 Tableau Open Source Alternatives: A Comprehensive List
RAWGraphs is an open-source Data Visualization tool designed to make visualizing complex data simple for everyone. The primary goal of RAWGraphs is to provide a tool that allows people who do not have the technical/coding expertise to create visualizations on their own. Originally designed to help graphic designers complete a set of tasks that were not available in other...
Source: hevodata.com

API Bakery Reviews

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Social recommendations and mentions

Based on our record, API Bakery should be more popular than RAWGraphs. It has been mentiond 24 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.

RAWGraphs mentions (5)

  • Interview synthesis tools?
    Go back through a second time Code themes / pull insights/ double check for keywords tag accuracy Use Dovetailโ€™s โ€œchartsโ€ to review various tags (it will show you how many tags per word in various chart options, none are great.) Export desired csvโ€™s from Dovetail Charts to free online data viz software like https://rawgraphs.io Boom. Iโ€™m sure there are better ways but thatโ€™s what I got! Source: over 4 years ago
  • What type/style of chart is this?
    Sankey is probably the most common name (after Captain Matthew Henry Phineas Riall Sankey who apparently made them to study energy flows in steam engines). But I've also heard it referred to as an alluvial diagram, for example in https://rawgraphs.io/. Source: over 4 years ago
  • Show HN: I made a data visualization desktop app
    This seems quite similar to RawGraphs: https://rawgraphs.io/ Both seem to provide a similar interface for dragging in a CSV file and constructing a chart, but RawGraphs is open-source, and can be used in the browser without installing anything (or the code can be downloaded and served locally). The main advantage of Daigo over RawGraphs seems to be that it supports publishing multiple charts as a dashboard.... - Source: Hacker News / over 4 years ago
  • [OC] Latin Americaโ€™s biggest airports had been growing steadily. With Covid, it all changed.
    Tools: Excel, Rawgraphs, Affinity Designer. Source: over 4 years ago
  • Self-hosted solution for easy data visualization?
    Take a look at https://rawgraphs.io/. Source: about 5 years ago

API Bakery mentions (24)

  • Where from to start building project?
    If you understand all that and just want to get started as quickly as possible, use a project generator such as cookiecutter-django or API Bakery. Note that I'd avoid using these until you have a solid grasp of Django otherwise you'll have no idea what's going on. Source: about 3 years ago
  • How to Build a RESTful API with Node.js and Express
    My project generator does basically exactly this - determine how your data looks, set up a project and build out CRUD, then you can go do fun stuff. Source: about 3 years ago
  • How Python virtual environments work
    > relocating them will actually break things Yes, absolute paths are hardcoded in several places. I actually have a use case for copying/relocating them (for https://apibakery.com), and simple search/replace of paths across the entire venv works, but I wouldn't recommend that as a best practice approach :-). - Source: Hacker News / over 3 years ago
  • Framework for REST API that builds a complete-ish API given a model?
    Use a project generator like https://apibakery.com (disclosure, I'm the author). Source: over 3 years ago
  • ImagineAI: A code generator that turns your app spec into a Node project
    Not op, but I have a similar project which does handle auth and a few other extra goodies like bg workers and dev shell: https://apibakery.com It uses a bearer token instead of JWT tho, for reasons outlined here: https://apibakery.com/blog/tech/no-jwt/ (HN discussion here: https://news.ycombinator.com/item?id=33019960). - Source: Hacker News / over 3 years ago
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What are some alternatives?

When comparing RAWGraphs and API Bakery, you can also consider the following products

Plotly - Low-Code Data Apps

API Platform - REST and GraphQL framework to build modern API-driven projects

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Newsy - Monetize your un-used domains and turn them into your own content aggregator with 0 code!

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Python Poetry - Python packaging and dependency manager.