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Conda VS Apify Python SDK

Compare Conda VS Apify Python SDK and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

Conda logo Conda

Binary package manager with support for environments.

Apify Python SDK logo Apify Python SDK

Build and manage web scraping Actors in the cloud.
Not present
  • Apify Python SDK Landing page
    Landing page //
    2023-03-16

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.

Apify Python SDK features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Conda and Apify Python SDK)

Conda

Apify Python SDK

Front End Package Manager
100 100%
Front End Package Manager
0% 0
Web Scraping
0 0%
Web Scraping
100% 100
Package Manager
100 100%
Package Manager
0% 0
Data Extraction
0 0%
Data Extraction
100% 100

User comments

Share your experience with using Conda and Apify Python SDK. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Conda seems to be a lot more popular than Apify Python SDK. While we know about 32 links to Conda, we've tracked only 1 mention of Apify Python SDK. 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 / 20 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
View more

Apify Python SDK mentions (1)

What are some alternatives?

When comparing Conda and Apify Python SDK, you can also consider the following products

Homebrew - The missing package manager for macOS

Apify - Apify is a web scraping and automation platform that can turn any website into an API.

Python Poetry - Python packaging and dependency manager.

PyPOTS - a Python lib for data mining on PartiallyObserved TimeSeries

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

Diffbot - Get data from web pages automatically

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