Software Alternatives & Startups

NumPy VS Workable

Compare NumPy VS Workable and see what are their differences

NumPy

NumPy is the fundamental package for scientific computing with Python

Rating
0 reviews
Pricing
Open source
Workable

Hire better with Workable. Post to the top job boards and enjoy a simple, intuitive applicant tracking system, made for teams. Start a free trial today.

Rating
4.0 · 1 review
Pricing
Paid Free trial $99 / Monthly (Per job)
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.

Which is more popular?

Based on our record, NumPy seems to be a lot more popular than Workable. While we know about 122 links to NumPy, we've tracked only 1 mention of Workable.

social mentions
122 vs 1
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
189 vs 240+

Base details

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

NumPy
Workable
Website numpy.org workable.com
Pricing
Open source
Paid Free trial $99 / Monthly (Per job) Official pricing
Company — Startup from the United States · 250 - 499 employees · 2012
Listed in

About NumPy and Workable

In their own words, as submitted to SaaSHub.

NumPy
Workable

No description of NumPy yet.

Workable is affordable, useable hiring software. It replaces email and spreadsheets with an applicant tracking system that your team will actually enjoy using.

Read more about Workable

Features and specs

What each product offers, as listed by its team.

NumPy 5 features
Workable 6 features
  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.
  • Ease of Use
    Workable has an intuitive and user-friendly interface that makes it easy for HR professionals and recruiters to navigate and manage job postings, candidate pipelines, and other recruitment activities.
  • Comprehensive Features
    The platform offers a wide range of features including job board integrations, candidate sourcing, assessment tools, collaborative hiring, and analytics, which streamline the entire hiring process.
  • Collaborative Hiring
    Workable provides tools for team collaboration, allowing multiple team members to comment on candidates, rate them, and move them through the hiring pipeline seamlessly.
  • Mobile Access
    Workable includes a mobile-friendly interface and app, enabling recruiters and hiring managers to access candidate information and manage pipelines on the go.
  • Customizable Workflows
    The platform allows for the customization of recruitment workflows to fit the specific needs of different organizations, enhancing flexibility and efficiency.
  • Excellent Customer Support
    Users often praise Workable for its responsive and helpful customer support, which is available to assist with onboarding and troubleshooting.

Possible disadvantages

  • Pricing
    Workable can be on the expensive side, especially for small businesses or startups. The cost may be a significant investment compared to other more affordable solutions on the market.
  • Learning Curve
    While the platform is generally intuitive, some advanced features may have a learning curve and might require time for new users to fully grasp and utilize.
  • Limited Integrations
    While Workable offers a good number of integrations, it may not always integrate seamlessly with all the tools and systems that some companies are already using, which can limit its utility.
  • Customization Limits
    Although Workable offers customization, some users find that there are still limitations that prevent full tailoring to very specific organizational needs or industry requirements.
  • Dependence on Internet
    As a cloud-based solution, Workable requires a strong and stable internet connection to function optimally. In areas with poor connectivity, this could be a drawback.
  • Feature Overload
    For smaller organizations or those with simpler recruiting needs, the extensive features offered by Workable might be overwhelming and unnecessary.

Analysis

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

NumPy
Workable

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Overall verdict

  • Workable is generally considered a good choice for businesses seeking a comprehensive yet user-friendly recruiting solution. Its robust feature set and scalability make it well-suited for various hiring needs, indicating positive reviews from users in terms of functionality and customer support.

Why this product is good

  • Workable is a widely-used recruiting software that is designed to streamline the hiring process for businesses of all sizes. It offers features such as job posting, candidate sourcing, applicant tracking, and collaborative hiring tools. These functionalities help organizations manage recruitment efficiently, reach a broader audience, and improve the candidate experience.

Recommended for

  • Small to medium-sized businesses looking to automate and simplify their recruitment processes.
  • Human resources teams that need a centralized platform to manage all hiring activities.
  • Companies that require scalability in their recruitment tools as they grow.
  • Organizations that value collaboration and communication within hiring teams.

Videos

Walkthroughs and reviews on video.

NumPy 3 videos + Add
Workable 7 videos + Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos

  • - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Workable Review

More videos

  • - Workable Walk Through
  • - Inbox And Build Review - Bronco Kit #AB3544, Sherman T49 Tracks, Workable
  • - Workable Review: Solid System with Lots of Perks
  • - Workable Review
  • - Workable Review: Is This Recruiting Platform Right for You?
  • - Workable Recruiting Software Review | My Usage Experience

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
NumPy
Workable
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

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

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

NumPy no reviews yet
Workable 4.0 · 1 review

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Social recommendations and mentions

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

NumPy 122 mentions
Workable 1 mention

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Alternatives to NumPy and Workable

When comparing NumPy and Workable, you can also consider the following products.