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Conda VS systemd+Linux

Compare Conda VS systemd+Linux and see what are their differences

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.

Conda logo Conda

Binary package manager with support for environments.

systemd+Linux logo systemd+Linux

Systemd
Not present
  • systemd+Linux Landing page
    Landing page //
    2022-07-14

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.

systemd+Linux features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Conda and systemd+Linux)
Front End Package Manager
Linux Distro
0 0%
100% 100
Package Manager
100 100%
0% 0
Cyber Security
0 0%
100% 100

User comments

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Social recommendations and mentions

Conda might be a bit more popular than systemd+Linux. We know about 32 links to it since March 2021 and only 22 links to systemd+Linux. 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 / 18 days 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 / 7 months 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 / 10 months 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 1 year 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 / over 1 year ago
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systemd+Linux mentions (22)

  • Deploying a Simple Go API with Supervisor and Nginx
    You might wonder why we use Supervisor instead of alternatives like Systemd, PM2, or containerized solutions like Docker. Here’s a quick comparison:. - Source: dev.to / about 2 months ago
  • Show HN: Interactive systemd (a better way to work with systemd units)
    Idk, when systemd became the main thing I hated it too. But mostly because it was different and I didn't know how to use it. But then I learned and you know what? I agreed. This took awhile though and I had to see the problems they are solving. Otherwise it looks really bloaty and confusing. Like why have things like nspawn? Why use systemd jobs instead of using cron? Why use systemd-homed instead of useradd? Well... - Source: Hacker News / 4 months ago
  • Strong Performance with EC2, Lambda, and the Momento SDK for Rust
    Here's my take at this point. If you require blazing speed, the Momento SDK for Rust handles topic subscriptions like a champion. It's easy to code with. Easy to set up. And I get an amazing performance. In cases where I need to update a leaderboard, perhaps deal with real-time chats, or work with financial data that needs to be updated as it happens, this would 100% be the way I'd go. There is no substitute... - Source: dev.to / 10 months ago
  • Daily Journal note injected into Joplin at the start of the day
    To that end, I created a script called journal.sh, and then created a systemd unit on my Linux machine that runs this using systemd timers (like cron but infinitely more powerful and flexible). Source: over 1 year ago
  • Deploying a secured Node.js Application on AWS EC2 Instance from scratch (Detailed Guide)
    You want your application to be available on the internet whenever it is accessed on any authorized device, from any authorized location. To achieve this, you can create a service to manage your node app. This service will be managed in Systemd to reliably ensure that your application is always running smoothly (i.e. starting, stopping, restarting, monitoring and occasionally fixing issues to keep the application... - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Conda and systemd+Linux, you can also consider the following products

Homebrew - The missing package manager for macOS

Let's Encrypt - Let’s Encrypt is a free, automated, and open certificate authority brought to you by the Internet Security Research Group (ISRG).

Python Poetry - Python packaging and dependency manager.

PM2 - Advanced, production process manager for Node.js

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

Linux kernel - The Linux kernel is the operating system kernel used by the Linux family of Unix-like operating...