Software Alternatives & Startups

pkgsrc VS Conda

Compare pkgsrc VS Conda and see what are their differences

pkgsrc

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

Rating
0 reviews
Pricing
Open source
Conda

Binary package manager with support for environments.

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Rating
0 reviews

Which is more popular?

Based on our record, Conda should be more popular than pkgsrc. It has been mentioned 32 times since March 2021.

social mentions
12 vs 32
Developer Tools popularity
41% vs 59%
alternatives listed
63 vs 77

Base details

Website, pricing, platforms and company facts side by side.

pkgsrc
C
Conda
Website pkgsrc.org docs.conda.io
Pricing
Open source
—
Listed in

Features and specs

What each product offers, as listed by its team.

pkgsrc 5 features
C
Conda 6 features
  • Cross-Platform Support
    pkgsrc is designed to be a portable package management system and can be used on a variety of Unix-like operating systems, including NetBSD, Solaris, Linux, and macOS. This cross-platform capability makes it a versatile tool for developers working in diverse environments.
  • Consistency Across Systems
    Using pkgsrc allows for a consistent package management experience regardless of the underlying operating system, reducing the learning curve and maintenance overhead for administrators managing multiple systems.
  • Comprehensive Package Collection
    pkgsrc offers a wide range of software packages, providing a robust collection that can meet diverse user needs from scientific libraries to web applications.
  • Quarterly Releases
    With quarterly releases, pkgsrc provides a balanced approach between stability and keeping software up to date, offering users new features regularly while maintaining reliability.
  • Flexible Build Options
    pkgsrc supports a flexible build system, allowing users to customize package builds with specific options or dependencies, tailored to their specific needs or system requirements.

Possible disadvantages

  • Smaller Community
    Compared to other popular package management systems like apt (Debian/Ubuntu) or yum (RedHat/CentOS), pkgsrc has a relatively smaller community, which might affect the availability of support and community-driven improvements.
  • Potentially Older Software
    While pkgsrc maintains stable quarterly releases, it may occasionally lag behind other systems in terms of offering the very latest versions of certain software, which might not be ideal for users needing the newest features.
  • Manual Configuration
    Setting up pkgsrc might require manual interventions and configurations, which could pose a hurdle for users unfamiliar with its setup process or those who prefer more automated solutions.
  • Dependency Management
    Although pkgsrc is quite capable in dependency handling, some users may find its dependency resolution to be less automatic or seamless compared to other systems which offer more integrated solutions.
  • Performance Overhead
    Because it is designed to be cross-platform, there can be some performance overhead associated with using pkgsrc compared to native package managers that are optimized for specific operating systems.
  • 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

  • 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.

Analysis

An editorial look at what each product does well and who it suits.

pkgsrc
C
Conda

No analysis of pkgsrc yet.

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

Videos

Walkthroughs and reviews on video.

pkgsrc 2 videos + Add
C
Conda 0 videos + Add

pkgsrc on ChromeOS

More videos

  • - Using pkgsrc for multi-platform deployments in heterogeneous environments, G Clifford Williams

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
pkgsrc
C
Conda
41% 41%
59% 59%
24% 24%
76% 76%
39% 39%
61% 61%
100% 100%
0% 0%

User comments

Share your experience with using pkgsrc and Conda. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

pkgsrc 12 mentions
C
Conda 32 mentions
  • What the heck is /pkg?
    As a NetBSD user, I would guess it is for use with pkgsrc. That would be great for mac people if my wild guess is correct. http://pkgsrc.org/. - Source: Hacker News / 23 days ago
  • Debian isn't waiting for 2038 to blow up, switches to 64-bit time for everything
    > Most open source software packages are also compiled for BSD variants, they switched to 64 bit time_t a long time ago and reported back upstream any problems. * NetBSD in 2012:... - Source: Hacker News / over 1 year ago
  • Our Audit of Homebrew
    > https://pkgsrc.smartos.org/install-on-macos/ Note that Pkgsrc is a NetBSD-derived project. * https://pkgsrc.org The Joyent folks leveraged it to allow their customers, who were perhaps not as familiar with Solaris/SmartOS, a... - Source: Hacker News / over 2 years ago

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Alternatives to pkgsrc and Conda

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