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Streaks VS NumPy

Compare Streaks VS NumPy and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Streaks logo Streaks

The to-do list that helps you form good habits.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Streaks Landing page
    Landing page //
    2021-07-25
  • NumPy Landing page
    Landing page //
    2023-05-13

Streaks features and specs

  • Easy to Use Interface
    Streaks offers a clean and intuitive user interface that makes it simple for users to track their habits without much difficulty.
  • Customizable Habit Tracking
    Users can customize different aspects of their habits, such as the frequency and reminders, to fit their specific needs and preferences.
  • Integration with Health App
    Streaks integrates with the Apple Health app, allowing users to automatically sync their health data and track fitness-related habits seamlessly.
  • Visual Progress Representation
    The app provides visual representations of progress, making it easy to see how well you're sticking to your habits.
  • Widgets Support
    Streaks supports iOS widgets, allowing users to view and manage their habits directly from their home screen.

Possible disadvantages of Streaks

  • Platform Limitation
    Streaks is only available on iOS and macOS, which means Android and Windows users can't take advantage of its features.
  • Paid Application
    Streaks is a paid app, which could be a drawback for users looking for free alternatives to habit-tracking.
  • Limited Habit Slots
    The app limits the number of habits you can track at one time, which may not be sufficient for users who want to monitor many habits simultaneously.
  • Learning Curve for Customization
    Although the interface is user-friendly, there can be a slight learning curve when it comes to customizing the habits and settings.

NumPy features and specs

  • 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 of NumPy

  • 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.

Streaks videos

+ Add

Streaks: The To Do List App That Helps You Form Good Habits | Apps (App Walkthrough)

More videos:

  • Review - SCOM0912 - Tip - Streaks - Preview

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

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

Category Popularity

0-100% (relative to Streaks and NumPy)

Streaks

NumPy

Productivity
100 100%
Productivity
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Habit Building
100 100%
Habit Building
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Streaks and NumPy

Streaks Reviews

5 Best Habit Trackers to Help You Stay on Track
Streaks is another popular habit tracker known for its clean design and simplicity. It focuses on helping you build streaks for the habits you want to establish. Every day that you complete a habit, the app extends your streak, motivating you to keep it going.
Source: medium.com

NumPy Reviews

25 Python Frameworks to Master
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 more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
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 at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
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 cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than Streaks. It has been mentiond 119 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.

Streaks mentions (20)

  • Habit Tracker with data export?
    Https://streaksapp.com supports csv export. I haven't found anything else worth using. Source: almost 2 years ago
  • Off-Topic Tuesday
    Self-Care Apps: I use "Streaks" for habit tracking, it's my favourite. I use the Headspace app for meditation/sleep stories (I used to use Calm, but my current employer includes Headspace for free in our wellness offerings, so here we are!). Source: about 2 years ago
  • Simple clicker counter with stats
    Streaks is not a clicker app but maybe it can do what you want. Source: about 2 years ago
  • Apple Watch Water Reminders
    Check out Streaks (https://streaksapp.com/). I use it for a lot of my reminders through my watch. Source: almost 3 years ago
  • Is it possible to launch iOS Shortcuts from MacOS Shortcuts?
    The reason I ask is I have habits set up in Streaks, a habit tracker and facilitator, most of my habits use the action button to launch shortcuts which I have set up to work on my iPhone. Source: about 3 years ago
View more

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

What are some alternatives?

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

Habit List - Create good habits and break bad ones with the app that keeps you focused.

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

Taskful - Deadlines, meet your match.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Gone - An ephemeral to-do list

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

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