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Which is more popular?
Based on our record, NumPy
seems to be a lot more popular than Streak.
While we know about 122 links to NumPy,
we've tracked only 1 mention of Streak.
social mentions
1 vs 122
CRM popularity
100% vs 0%
alternatives listed
240+ vs 189
Base details
Website, pricing, platforms and company facts side by side.
Gmail Integration Seamlessly integrates with Gmail, allowing users to manage work directly from their inbox and reducing the need to switch between tools.
Pipeline Management Allows users to create, customize, and manage pipelines for sales, projects, or any workflow, offering flexibility and organization.
Email Tracking Enables users to track email opens and link clicks, providing insights into engagement and the effectiveness of communication.
Mail Merge Supports personalized bulk emails, saving time while maintaining a personal connection with recipients.
Collaboration Features Facilitates team collaboration through shared pipelines, notes, tasks, and email sharing, improving team efficiency and communication.
Customizable Offers extensive customization options to fit different business needs, from custom fields to workflow automation.
Possible disadvantages
Pricing Can be expensive for small businesses or startups, especially if advanced features are required.
Learning Curve May have a steep learning curve for users who are not familiar with CRM systems or advanced email management tools.
Gmail Dependency Relies on Gmail, so it's not a suitable option for users who use other email services or platforms.
Limited Free Features The free version offers limited features, which may not be sufficient for users needing more advanced functionalities.
Performance Issues Some users report performance issues such as lags or slow load times, especially with larger volumes of data.
Privacy Concerns There might be concerns regarding data privacy and security since it operates within Gmail, handling sensitive information.
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.
Analysis
An editorial look at what each product does well and who it suits.
StreakNumPy
Overall verdict
Streak is generally considered to be a good CRM solution, particularly for users and businesses that rely heavily on Gmail. Its intuitive interface and integration capabilities make it a strong choice for small to medium-sized businesses looking for an easy and effective way to manage customer relationships directly from their email.
Why this product is good
Streak is a CRM that integrates directly with Gmail, providing users with the ability to manage customer relationships, track sales, and organize email communications within their inbox. The platform is praised for its seamless integration, ease of use, and productivity-enhancing features such as email tracking, mail merge, and pipeline management.
Recommended for
Streak is highly recommended for small business owners, sales teams, freelancers, and startups who primarily use Gmail and are in need of an integrated CRM solution without the complexity and cost of larger, standalone CRM systems.
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.
https://www.streak.com/ Streak is a very popular Gmail Extension that turns your email into a CRM system to help follow up, track, and manage contacts and leads. Streak has dozens of little tools that make it unique...
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and...
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and...
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image...
Recommendations tracked on public social media and blogs since March 2021.
Streak1 mentionNumPy122 mentions
Requested Voided Check, and another 4506-T
If you use gmail, you can try out streak.com. It's free but you have to use the Chrome browser for it to work when you send your emails. There are paid options too like yesware and some others.
Source:
over 5 years ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages
Familiarity with Python as a language is assumed; if you need a quick...
- Source: dev.to
/
about 1 year ago
AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI,...
- Source: dev.to
/
about 1 year ago
Sales pipeline software that gets you organized. Helps you focus on the right deals, so easy to use that salespeople just love it. Great for small teams.
EspoCRM is open source CRM (Customer Relationship Management) software that allows you to see, enter and evaluate all your company relationships regardless of the type.
