Software Alternatives, Accelerators & Startups

Sup! Standup Bot VS NumPy

Compare Sup! Standup Bot VS NumPy and see what are their differences

Sup! Standup Bot logo Sup! Standup Bot

The complete stand-up and follow-up bot
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Sup! Standup Bot Landing page
    Landing page //
    2023-06-09

The best standup bot for keeping your team on track during daily async standup meetings. Sup can facilitate a standup meeting, retrospective meeting, or other meetings asynchronously for your team using either a chat-based interface or a dialogue window.

Conduct standups & follow-ups: Sup provides team standup updates. You can see how everything works with direct questions and answers. Asynchronous standups and multiple follow-ups are a click away.

Vacation Tracker: Request, approve, view, and manage vacations with Sup. Holiday tracking is easy with regular updates and a dashboard of employee holiday analytics.

Create surveys & polls: Remote working can become a lot easier when you can make quick decisions based on surveys and quick polls. Make it simple for your team to voice their opinions.

Track team mood: Sup? Is that what you want to ask your team? Using mood tracking, understand your team's emotions. To gauge team morale, use it with a follow-up like standups. The anonymity of responses allows for honest answers.

Integrations: Sup x GoogleSheets. Sup integrates with Google Sheets to create a new Google Sheet file at the end of every month and sync the follow-up responses. Trusted by small and big-leaguers like Iterable, Adobe, PWC, Stripe, MailChimp, Starbucks, Mixpanel, Dell, Warner Bros, Wise, Perceptyx, Udaan, and more.

  • NumPy Landing page
    Landing page //
    2023-05-13

Sup! Standup Bot

Website
supbot.com
$ Details
freemium $29.0 / Monthly (Flat price)
Platforms
Slack Microsoft Teams
Release Date
2022 May

Sup! Standup Bot features and specs

  • Conduct standup & follow-ups: Yes
  • Maintain & track holidays: Yes
  • Build forms & quick polls: Yes
  • Track team mood everyday: Yes

NumPy features and specs

No features have been listed yet.

Sup! Standup Bot videos

Sup | Employee Reimbursement Tracking via Slack/Teams

More videos:

  • Tutorial - How to run a daily Stand-up in Slack/Teams
  • Tutorial - How to manage leave or holiday requests of the team in Slack/Teams

NumPy videos

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 Sup! Standup Bot and NumPy)
Productivity
100 100%
0% 0
Data Science And Machine Learning
Project Management
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using Sup! Standup Bot and NumPy. For example, how are they different and which one is better?
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Reviews

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

Sup! Standup Bot Reviews

  1. Superb bot for Standups and Holiday tracking!

    We use Sup bot extensively in our team to facilitate standup, End-of-day follow-ups, holiday tracking - all without leaving Slack.

    👍 Pros:    Affordable price|Excellent features

Optimize your Slack workspace with these 6 best Geekbot alternatives
Edit & update response: It is difficult to make a realistic estimation of task definition, duration, and process at the very first attempt. You will often start with a particular estimation, and as the project progresses you will find the estimation proven wrong. This is where you will find the need to update the previous estimation for an accurate future reference. This is...
Source: www.inkoop.io

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.
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 seems to be more popular. It has been mentiond 111 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.

Sup! Standup Bot mentions (0)

We have not tracked any mentions of Sup! Standup Bot yet. Tracking of Sup! Standup Bot recommendations started around Jul 2021.

NumPy mentions (111)

  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 1 day ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 7 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 9 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Sup! Standup Bot and NumPy, you can also consider the following products

Geekbot - Discover how to organise asynchronous stand up meetings in Slack and keep your team synced using Geekbot. Start your free trial today!

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

Standuply - Run daily standup meetings and track your metrics in Slack

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

Standup Bot - An easy to use bot that automates your team’s standups, check-ins or any kind of recurring status update meetings, without breaking the bank.

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