Software Alternatives & Startups

Conda VS bundlejs

Compare Conda VS bundlejs and see what are their differences

Conda logo Conda

Binary package manager with support for environments.

bundlejs logo bundlejs

A quick and easy way to bundle, minify, and compress (gzip and brotli) your ts, js, jsx and npm projects all online, with the bundle file size.
Not present
  • bundlejs Landing page
    Landing page //
    2025-09-16

bundle is a quick and easy way to bundle your projects, minify and see it's gzip size. It's an online tool similar to bundlephobia, but bundle does all the bundling locally on you browser and can treeshake and bundle multiple packages (both commonjs and esm) together, all without having to install any npm packages and with typescript support.

If there is something I missed, a mistake, or a feature you would like added please create an issue or a pull request and I'll try to get to it. You can contribute to this project at okikio/bundle.

You can join the discussion on Github discussions or Twitter.

You can now use search queries in bundle, all you need to do is add this to the url
?q={packages}&treeshake={methods to treeshake}

e.g.
You want react, react-dom, vue, and @okikio/animate, but only want the Animate and toStr methods exported from @okikio/animate.

You would add this to the url bundlejs.com/?q=react,react-dom,vue,@okikio/animate&treeshake=[*],[*],[*],[{Animate,toStr}]

bundlejs

$ Details
free
Platforms
Web Google Chrome Firefox Safari JavaScript Edge
Release Date
2021 May

Conda features and specs

  • Cross-Platform Package Manager
    Conda is a versatile package manager that works across multiple operating systems including Windows, macOS, and Linux, making it a universal solution for environment management.
  • Environment Management
    Conda can create, export, list, remove, and manage environments that contain different versions of Python and/or various packages, enhancing reproducibility and isolation.
  • Wide Range of Packages
    Conda supports a broad spectrum of packages not limited to Python, which means it can install software and their dependencies from the C, C++, FORTRAN, and other ecosystems.
  • Binary Package Delivery
    Packages are delivered as binaries, meaning you don't have to compile anything. This speeds up the installation process and reduces the possibility of errors.
  • Easy Dependency Resolution
    Conda automatically manages dependencies, ensuring that the required packages are installed in the correct versions and reducing compatibility issues.
  • Version Control
    It allows you to manage different versions of software and switch between them seamlessly without conflict, which is crucial for development, testing, and deployment.

Possible disadvantages of Conda

  • Large Disk Space Requirement
    Conda environments can take up a significant amount of disk space due to the inclusion of multiple versions of Python and other binaries.
  • Complexity
    While Conda is powerful, its comprehensive set of features may be overwhelming for beginners who only need simpler package management.
  • Performance Overhead
    The convenience of automated dependency resolution and environment management can sometimes come at the cost of performance, particularly during the first setup.
  • Slower Package Availability
    Newer versions of some packages may take longer to become available on Conda compared to other package managers like pip, leading to potential delays in adopting the latest features.
  • Third-Party Channels
    While Conda has its main channel, many packages are hosted on third-party channels, which can lead to inconsistencies or reliability issues.
  • Not Limited to Python
    Although this is also a strength, for users who are primarily working with Python, Conda might feel over-engineered for their needs.

bundlejs features and specs

  • brotli
  • gzip
  • lz4
  • npm
  • deno
  • Configurable
  • jsx
  • TypeScript
  • Offline
  • Error and warning alerting
  • Open-source

Analysis of Conda

Overall verdict

  • Yes, Conda is generally regarded as a good tool due to its versatility, efficiency in managing dependencies, and user-friendly features.

Why this product is good

  • Conda is considered good because it is a powerful package manager and environment manager that is language agnostic. It simplifies the installation of packages and dependencies across different programming languages, particularly beneficial for data science and machine learning tasks. It also handles library conflicts with ease, making it a preferred choice for managing complex software environments.

Recommended for

  • Data scientists
  • Machine learning engineers
  • Software developers using Python, R, or any other language needing isolated environments
  • Researchers requiring reproducible scientific environments
  • Anyone who frequently works with packages that have complex dependencies

Category Popularity

0-100% (relative to Conda and bundlejs)
Front End Package Manager
Developer Tools
75 75%
25% 25
Package Manager
100 100%
0% 0
Web Application Bundler
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Conda should be more popular than bundlejs. It has been mentiond 32 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.

Conda mentions (32)

  • Say Hello to UV: A Fast Python Package & Project Manager Written in Rust
    If you’ve been managing Python projects long enough, you’ve probably dealt with a mess of tools: pip, pip-tools, poetry, virtualenv, conda, maybe even pdm. - Source: dev.to / over 1 year ago
  • The Simplest Data Architecture
    You can use isolated Python environments like venv or conda. If you do this, you'll have to manage your environments yourself, and also constantly switch between them to run your data engineering code vs dbt. - Source: dev.to / almost 2 years ago
  • Python's virtual environments
    Conda is an open-source package management system and environment management system that runs on Windows, macOS, and Linux. It is a powerful tool that allows you to create and manage virtual environments, install and update packages, and manage dependencies. Conda is particularly popular in the scientific computing community, as it provides access to a wide range of scientific computing libraries and tools. I... - Source: dev.to / about 2 years ago
  • Introducing Flama for Robust Machine Learning APIs
    When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage... - Source: dev.to / over 2 years ago
  • Ask HN: Package management for multiple modules in C++, Python, Java project?
    Conda https://docs.conda.io/en/latest/ ?? I'm not sure, but I used it to download some Python packages. It's an alternative to pip, but I'm not sure about the details. - Source: Hacker News / almost 3 years ago
View more

bundlejs mentions (10)

  • Show HN: Duper – The Format That's Super
    I think a neat route would be to use this as an authoring plugin in VS Code, like prettier: write Duper (or JSON5, or whatever), and then downlevel it to regular json automatically when pressing cmd-s. You wouldn't get to keep your comments (or they could be transformed to { "//": "comment text" }). Outside of that, it's tough to compete with JSON in the "human readable unschematized serialization format" market,... - Source: Hacker News / 10 months ago
  • I Built the Same App 10 Times: Evaluating Frameworks for Mobile Performance
    React's bundling system and published packages has gotten noticeably more complicated over time. First, there's the separation between the generic cross-platform `react` package, and the platform-specific reconcilers like `react-dom` and `react-native. All the actual "React" logic is built into the reconciler packages (ie, each contains a complete copy of the actual `react-reconciler` package + all the... - Source: Hacker News / 10 months ago
  • Zod 4
    These numbers don't reflect anything useful. This is the total size of the code in the package, most of which will be tree-shaken. In Zod's case, the package now contains three independent sub-libraries. I recommend plugging a script into bundlejs.com[0] to see bundle size numbers for a particular script [0] https://bundlejs.com. - Source: Hacker News / over 1 year ago
  • PackagePhobia – Find the cost of adding a new dev dependency to your project
    [bundlejs](https://bundlejs.com/) is the better alternative to check your dependency sizes with. - Source: Hacker News / over 1 year ago
  • ESM & CJS: The subtle shift in bundlejs' behaviour
    I was closing out some long lived issues over on bundlejs, when issue #50 reminded me of the ongoing debate about how bundlejs should handle the ESM and CJS packages. - Source: dev.to / about 3 years ago
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What are some alternatives?

When comparing Conda and bundlejs, you can also consider the following products

pkgsrc - pkgsrc is a framework for building over 17,000 open source software packages.

BundlePhobia - Find the performance impact of adding a npm package to your bundle.

Python Poetry - Python packaging and dependency manager.

esbuild - An extremely fast JavaScript bundler and minifier

Homebrew - The missing package manager for macOS

Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.