Software Alternatives, Accelerators & Startups
Register | Login

Arc.dev VS Scikit-learn

Compare Arc.dev VS Scikit-learn and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Arc.dev logo Arc.dev

Arc is the remote career platform helping developers build amazing careers from anywhere. Find thousands of top remote developer jobs online all in one place!

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Arc.dev Landing page
    Landing page //
    2023-09-07
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Arc.dev features and specs

  • Quality Talent
    Arc.dev screens and vets developers, ensuring high-quality talent is available for hire.
  • Remote Focused
    The platform is designed specifically for remote work, which is increasingly relevant in today's job market.
  • Flexible Hiring
    Arc.dev offers flexible hiring options, including full-time, part-time, and contract roles.
  • Global Reach
    Employers have access to a global pool of developers, providing a broader range of skills and expertise.
  • Hiring Assistance
    Arc.dev provides dedicated hiring consultants to help match employers with the right developers.
  • Community and Resources
    Developers have access to a supportive community and resources to help them grow their careers.

Possible disadvantages of Arc.dev

  • Cost
    Hiring through Arc.dev can be more expensive than other platforms, given the quality and vetting process involved.
  • Niche Market
    The platform primarily caters to tech and development roles, which may not be suitable for companies looking for a wider range of skill sets.
  • Vetting Process Delay
    The thorough vetting process can sometimes lead to delays in hiring, which may not suit urgent hiring needs.
  • Geographical Constraints
    While remote work is emphasized, certain employers might face challenges with time zone differences.
  • Platform Fee
    Arc.dev charges a platform fee, which might be a barrier for startups or small businesses with limited budgets.
  • Limited User Control
    Employers might find the process less flexible compared to directly hiring through other platforms, due to the involvement of hiring consultants.

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Arc.dev videos

+ Add

Remote Work For Developers | Why I Invested In Arc.Dev on Wefunder (YC Startup)

More videos:

  • Review - ARC.DEV (FKA CODEMENTORX) REVIEW: ALTERNATIVES AND COMPETITORS FOR 2020
  • Review - Arc 2.0 - The Easiest Way to Find Remote Developer Jobs | Arc.dev

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Arc.dev and Scikit-learn)

Arc.dev

Scikit-learn

Job Boards
100 100%
Job Boards
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Remote Jobs
100 100%
Remote Jobs
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Arc.dev and Scikit-learn. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Arc.dev and Scikit-learn

Arc.dev Reviews

Comparing Andela, Turing, Toptal, Micro1, Arc.dev, and Wajusoft
When comparing these platforms, several key features stand out. Andela and Turing provide access to a large talent pool of vetted developers. Toptal, Arc.dev and micro1 offer specialized expertise and agile development practices, respectively. Wajusoft excels in flexibility in team scaling and tailored solutions.
Source: www.wajusoft.com
Top 10 Websites to Find Remote Jobs
Who Should Sign UpโญArc caters to a wide range of experience levels. Newbies can benefit from career guidance and skill-building resources, while experienced developers will find a curated selection of high-quality remote positions from top companies.
Source: blog.tmetric.com
Best Freelancer.com Alternatives For Hiring Developers
Arc.dev uses a strict vetting process like other top-rated online marketplaces. It utilizes various assessment tools to ensure its freelancers are of the highest quality. Unlike Freelancer, where you can hire freelancers for the long and short term, Arc.dev focuses on helping companies hire full-time and long-term remote-working developers. The platform ensures all parties...
Source: www.ideamotive.co
Forget LinkedIn: The Top 10 Remote Work Alternatives for Landing Your Dream Tech Job Remotely
Arc: Leveraging AI, Arc is a global remote jobs marketplace connecting companies with talented software developers.
Source: dev.to

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Arc.dev. It has been mentiond 40 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.

Arc.dev mentions (22)

  • Top 7 Remote Job Boards for Software Engineers (No "Fake Remote" BS)
    Arc flips the traditional job search model. Itโ€™s an exclusive network primarily aimed at senior developers. - Source: dev.to / 2 months ago
  • Which Hiring Platforms Offer Risk-Free Trials for ReactJS Developers?
    Arc.dev offers companies both full-time and freelance recruiting options for qualified ReactJS engineers. They provide a two-week risk-free trial so businesses can evaluate the developer's abilities and suitability. Businesses can stop operating without incurring any costs if they are not happy. - Source: dev.to / over 1 year ago
  • Best Websites to Hire Remote Software Developers in USA
    Arc.dev Arc.dev specializes in connecting companies with remote developers, designers, and marketers. With a focus on quality, Arc.dev provides access to vetted candidates with domain expertise and English fluency. The platform's unique approach to candidate matching saves time and ensures you find the right fit quickly. - Source: dev.to / over 1 year ago
  • Just Moved to Vienna
    Hallo Leute aus ร–sterreich! I just made my move to Wien, finally. I am offering my Software Engineering Consulting Services and/or Digital Product Management services to anyone who wants to launch an MVP in the digital space in a short manner, or join/lead a small team. Enterprise-grade stuff (I am ex-IBM CIO), no shady businesses, US entity. My profile: https://arc.dev/@arpad Before going into the Software space... - Source: Hacker News / over 2 years ago
  • ๐Ÿ’ผ 50 Tips to Land a Remote Tech Job Based on My 45-Day Journey to 2 Offers
    To be honest, it's another rabbit hole. In my whole experience history with these job platforms, I can 100% backup G2i as I got a dream job there and Toptal, Lemon.io, Turing, and Arc.dev are fine but people have different opinions about them, sometimes they want to charge you a lot, sometimes there is a lack of jobs, etc. It's a thing to consider, but hear this out. - Source: dev.to / over 2 years ago
View more

Scikit-learn mentions (40)

  • Detecting Ingress Tool Transfer (T1105) with Python
    Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago
  • Best AI Cybersecurity Training for Security Teams: How to Pick
    Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
  • Where to Get Hands-On AI Training for Cybersecurity Professionals
    Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
  • How Anomaly Detection Actually Works in Security Operations
    Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
  • Building a Personalized Meal Recommendation System
    In practice, youโ€™ll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago
View more

What are some alternatives?

When comparing Arc.dev and Scikit-learn, you can also consider the following products

Flexiple - Flexiple helps companies work with top tech talent within 48 hours to 7 days. Our talent are handpicked through a rigorous screening process and are alumni from top tech companies such as Amazon, Adobe, Microsoft, amongst others.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Toptal - Hire the Top 3% of Freelance Talentยฎ. Toptal is an exclusive network of the top freelance software developers, designers, finance experts, product managers, and project managers in the world.

NumPy - NumPy is the fundamental package for scientific computing with Python

Upwork - Forget the old rules. You can have the best people. Right now. Right here.

OpenCV - OpenCV is the world's biggest computer vision library

Loading...