SoberStack is a free sobriety streak tracker built around one idea: progress is not erased by a slip. Track your current streak, log urges in the moment, and see a history graph that preserves your past. Private, simple, no accounts required.
Tap a thing and the counter resets. A quiet, local-first day counter for the things you keep meaning to do. No account needed, no spreadsheet.
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Which is more popular?
Based on our record, NumPy
seems to be a lot more popular than SoberStack App.
While we know about 122 links to NumPy,
we've tracked only 2 mentions of SoberStack App.
social mentions
122 vs 2
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
189 vs 25
Base details
Website, pricing, platforms and company facts side by side.
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.
Sobriety Tracking SoberStack provides a clear and straightforward way to track sober days, helping users maintain accountability and visualize their progress over time.
Community Support The app offers community features that connect users with others on similar recovery journeys, providing encouragement and shared experiences to help maintain sobriety.
Simple and Clean Interface SoberStack features an intuitive, minimalist design that makes it easy for users to navigate and use without feeling overwhelmed, which is important during recovery.
Motivational Features The app includes milestones, badges, or motivational prompts that help keep users engaged and inspired to continue their sobriety journey.
Privacy-Focused SoberStack appears to prioritize user privacy, which is crucial for people dealing with sensitive personal health and recovery information.
Analysis
An editorial look at what each product does well and who it suits.
NumPySoberStack App
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
SoberStack appears to be a helpful digital tool for individuals pursuing sobriety, offering tracking and support features that can complement a recovery journey, though it should not replace professional treatment for those with serious addiction issues.
Why this product is good
Sobriety tracking helps users visualize progress and milestones, which can boost motivation and accountability
Digital tools are accessible anytime, providing support during moments of temptation or difficulty
May include community or support features that reduce feelings of isolation common in recovery
Can help users identify triggers and patterns through logging and reflection
Convenient and private way to monitor personal goals without requiring in-person meetings
Recommended for
Individuals in early recovery looking for daily accountability and motivation
People who want to track sobriety milestones and celebrate progress
Those seeking a private, self-directed complement to formal treatment or group support
Users who benefit from digital reminders and habit-tracking tools
Anyone wanting to reduce alcohol or substance use and build healthier habits
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...
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
/
over 1 year ago
SoberStack: a sobriety/recovery tracker built around the idea of focusing on sober days rather then streaks so it's not all or nothing. It uses a Github style contribution graph. https://soberstack.app/.
- Source: Hacker News
/
5 months ago
I've been building SoberStack ([https://soberstack.app](https://soberstack.app)). It's the first side project I've taken on in a few years. It's a free sobriety app for any bad habits I built for myself. Most sobriety apps reset your...
- Source: Hacker News
/
7 months ago
Alternatives to NumPy and SoberStack App
When comparing NumPy and SoberStack App, you can also consider the following products.
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Streaks
