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NumPy VS JustCall

Compare NumPy VS JustCall and see what are their differences

NumPy

NumPy is the fundamental package for scientific computing with Python

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
JustCall

The Cloud Phone System of choice for modern sales and support teams. We help end clueless conversations by adding context to every call.

Rating
0 reviews
Pricing
Paid $30 / Monthly
Alternatives Is it good?
Enzo Dialer
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Which is more popular?

Based on our record, NumPy seems to be a lot more popular than JustCall. While we know about 122 links to NumPy, we've tracked only 4 mentions of JustCall.

social mentions
122 vs 4
Data Science And Machine Learning popularity
100% vs 0%

Base details

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

NumPy
JustCall
Website numpy.org justcall.io
Pricing
Open source
Paid $30 / Monthly Official pricing
Platforms —
Web Browser Windows Mac OSX Linux Android iOS +4
Company — 2018
Listed in
Data Science And Machine Learning Data Science Tools Python Tools Software Libraries +1
Phone System Call Center Software Call Center Solution Sales Automation Call Center Services Video Conferencing Bulk Sms Auto Dialer Cloud Hosting +6

About NumPy and JustCall

In their own words, as submitted to SaaSHub.

NumPy
JustCall

No description of NumPy yet.

The Cloud Phone System of choice for modern sales and support teams. End clueless conversations by adding context to every call. Call software, virtual numbers, SMS campaigns, native CRM integrations, and lots more at just $25 per user. 100+ integrations with CRM & Business tools Click to...

Read more about JustCall

Features and specs

What each product offers, as listed by its team.

NumPy 5 features
JustCall 5 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
    JustCall offers an intuitive interface that's simple to navigate, making it easy for teams to get up and running quickly.
  • Integration Capabilities
    JustCall integrates seamlessly with numerous CRMs and business tools, such as Salesforce, HubSpot, and Slack, enhancing workflow efficiency.
  • Global Calling
    The platform supports international calling, which is beneficial for businesses with global customers or remote teams.
  • Automation Features
    JustCall automates various tasks like call scheduling and follow-ups, saving time and reducing manual effort.
  • Analytics and Reporting
    The service provides comprehensive analytics and reporting features, enabling businesses to track performance and make data-driven decisions.

Possible disadvantages

  • Price
    Some users find the pricing structure to be on the higher side, especially for small businesses or startups.
  • Call Quality
    There have been occasional reports of poor call quality or dropped calls, which can impact customer communication.
  • Limited Advanced Features
    While JustCall covers essential features, it may lack some of the nuanced advanced functionalities that are available in other, more comprehensive platforms.
  • Customer Support
    Some users have experienced delays or less satisfactory responses from customer support, which can be problematic in urgent situations.
  • Learning Curve for Advanced Features
    While basic functions are easy to use, mastering some of the more advanced features may require additional training or time.

Analysis

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

NumPy
JustCall

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

  • Overall, JustCall is considered a strong choice for businesses looking for a comprehensive and flexible communication tool. However, as with any service, it's important to evaluate how its features align with your specific business needs.

Why this product is good

  • JustCall is a cloud-based phone system designed for sales and support teams. It offers a suite of features including call forwarding, SMS capabilities, integrations with various CRM tools, and call monitoring. Users often praise its ease of use, ability to integrate with existing systems, and customer support. It's particularly beneficial for teams that need a reliable VoIP service with global reach.

Recommended for

    JustCall is ideal for small to medium-sized businesses that require a cost-effective, easy-to-implement call system. It's also suitable for remote teams and businesses with a high volume of outbound calls or those that rely heavily on CRM integrations.

Videos

Walkthroughs and reviews on video.

NumPy 3 videos + Add
JustCall 3 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

Customer Talks

More videos

  • - Customer Talks
  • - How to Set-up IVR?

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
JustCall
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
Communication
100% 100%
100% 100%
Data Science Tools
0% 0%
0% 0%
Call Center Software
100% 100%

User comments

Share your experience with using NumPy and JustCall. 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
JustCall no reviews yet

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Social recommendations and mentions

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

NumPy 122 mentions
JustCall 4 mentions

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  • Newbie here. How would you target other businesses for establishing partnerships in the efficient way?
    If you're going to cold call, utilize software that'll show call logs etc. In your CRM (justcall.io is one example, but there's tons of options for this). Source: almost 4 years ago
  • Remote workers and phone system
    Another I've just heard about from colleagues is JustCall, as it integrates with HubSpot...which we just started using. But I can't speak to service. (Broadvoice only integrated with Salesforce which is well beyond what we can use) Good... Source: almost 4 years ago
  • For the love of god, is there a way to mass upload calls to Zoho? Some work around to expedite this process?
    We use Just call (https://justcall.io/) - it's integrated and relatively cheap. Call straight out of Zoho. No relationship - just a customer. Source: almost 4 years ago

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Alternatives to NumPy and JustCall

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

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