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Process Explorer VS Conda

Compare Process Explorer VS Conda and see what are their differences

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Process Explorer logo Process Explorer

The top window always shows a list of the currently active processes, including the names of their owning accounts, whereas the information displayed in the bottom window depends on the mode that Process Explorer is in: if it is in handle mode you'l…

Conda logo Conda

Binary package manager with support for environments.
  • Process Explorer Landing page
    Landing page //
    2023-09-21
Not present

Process Explorer features and specs

  • Detailed System Information
    Process Explorer provides in-depth information about system processes, including detailed CPU and memory usage stats.
  • Hierarchical View
    It shows processes in a tree structure, making it easy to understand parent-child relationships between processes.
  • Advanced Diagnostic Capabilities
    The tool offers advanced features like DLL and handle viewing, allowing detailed investigation of system issues.
  • Real-Time Monitoring
    It allows real-time monitoring of system performance, including CPU, GPU, and I/O activity, which is critical for diagnosing performance bottlenecks.
  • Integration with VirusTotal
    Process Explorer can integrate with VirusTotal to check the safety of running processes, adding an extra layer of security.
  • Free to Use
    Process Explorer is part of the Sysinternals suite, which is freely available for use, making it accessible for both individual users and organizations.

Possible disadvantages of Process Explorer

  • Complexity
    The extensive features and detailed information can be overwhelming for novice users who may find the interface complex to navigate.
  • Resource Intensive
    While generally lightweight, the comprehensive monitoring features can consume a noticeable amount of system resources, which might affect performance on older or less powerful systems.
  • Windows Only
    Process Explorer is designed specifically for Windows operating systems, limiting its use for those who work in cross-platform environments.
  • No Built-In Reporting
    The tool does not offer built-in reporting capabilities, requiring users to manually capture and document information.
  • Steep Learning Curve
    Due to its advanced features and detailed information, new users might face a steep learning curve before being able to fully utilize all its capabilities.
  • Limited Documentation
    While there are some resources available, the documentation can be sparse, making it difficult for users to find solutions to specific problems.

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.

Analysis of Process Explorer

Overall verdict

  • Yes, Process Explorer is generally regarded as a good and reliable tool by both system administrators and other IT professionals. It is frequently recommended for its depth of features, ease of use, and the detailed process information it provides.

Why this product is good

  • Process Explorer is considered a valuable tool because it offers comprehensive insights into system processes, threads, and resource usage. It provides detailed information about which files and directories individual processes have open, the DLLs they have loaded, and more. Its ability to offer real-time data and powerful searching capabilities makes it invaluable for troubleshooting and performance monitoring.

Recommended for

  • System administrators
  • IT professionals
  • Software developers
  • Anyone interested in detailed system diagnostics
  • Users troubleshooting application issues

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

Process Explorer videos

+ Add

Sysinternals Process Explorer Review + download link and method

More videos:

  • Review - Scan for Malware Using Process Explorer and Virus Total
  • Review - What Is?: Process Explorer?

Conda videos

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

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Category Popularity

0-100% (relative to Process Explorer and Conda)

Process Explorer

Conda

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Front End Package Manager
0 0%
Front End Package Manager
100% 100
Command Line Tools
100 100%
Command Line Tools
0% 0
Package Manager
0 0%
Package Manager
100% 100

User comments

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Social recommendations and mentions

Based on our record, Process Explorer should be more popular than Conda. It has been mentiond 289 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.

Process Explorer mentions (289)

  • Stats – macOS system monitor in your menu bar
    Unclear what you mean by programmable, but https://learn.microsoft.com/en-us/sysinternals/downloads/process-explorer is the bee's knees and you can set an option to have it take over taskmon.exe, launch on login, and put as many of the widgets in the taskbar as you fancy. I love it I've heard about running them directly from SMB but have never been the kind of person to try out such a stunt... - Source: Hacker News / over 1 year ago
  • Ask HN: What tools do you recommend for working on Windows?
    Always put all your portable programs in the "A:\MyPC\Programs\" folder. Always put all your documents in the "A:\MyPC\Documents\" folder. Put driver files and runtime libraries in the "A:\MyPC\Install\" folder. For all three, feel free to create subfolders as needed, either per topic, per group, or however your brain envisions data trees. You can find plenty of portable windows software in the links provided... - Source: Hacker News / about 2 years ago
  • Hidden dependencies in Linux binaries.
    On windows, this is Dependency Walker versus ProcExp. Similar eye-goggling results. https://www.dependencywalker.com/ https://learn.microsoft.com/en-us/sysinternals/downloads/process-explorer. - Source: Hacker News / over 2 years ago
  • Windows Explorer and Desktop Window Manager high RAM usage
    If you run Process Explorer (https://learn.microsoft.com/en-us/sysinternals/downloads/process-explorer) and enable process tree view, you can see what processes are running under explorer.exe. That should give you a better idea of what's consuming that memory if you're genuinely concerned about this. Source: over 2 years ago
  • Roblox doesn't launch for months on PC
    If you have any suspicious processes running onto your computer, close them IMMEDIATELY. I suggest using Process Explorer, as it has a Virustotal which submits all Executables to virustotal under 70+ antiviruses. If any of the processes have 3+ detections, Close them down as anticheats will detect it and stop you from running Roblox. Source: almost 3 years ago
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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
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What are some alternatives?

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

Process Monitor - Monitor file system, Registry, process, thread and DLL activity in real-time.

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

htop - htop - an interactive process viewer for Unix. This is htop, an interactive process viewer for Unix systems. It is a text-mode application (for console or X terminals) and requires ncurses. Latest release: htop 2.

Python Poetry - Python packaging and dependency manager.

Autoruns - See what programs are configured to startup automatically when your system boots and you login.

Homebrew - The missing package manager for macOS

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