Process Street
Kissflow
Pipefy
ifttt
Nintex
Make.com
Microsoft Power Automate
Apache Airflow
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Process StreetBased on our record, NumPy seems to be a lot more popular than Process Street. While we know about 112 links to NumPy, we've tracked only 7 mentions of Process Street. 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.
The only thing I found is process.st but it’s a paid service. Source: about 1 year ago
So far I am working on the idea of workflow saas app, something like notion + process.st, but much simpler to use. I haven't done any wireframes or design yet. I am just at initial stage of exploring this area. Source: about 1 year ago
I'm using process street. It can trigger different workflows using links + having a conditional workflow. Source: over 1 year ago
I took a look at process.st, it's more oriented towards office workers, whereas we're targeting in-the-field activities (take a photo, send an SMS, etc.). Source: almost 2 years ago
> I want that temporally and semantically linked set of activities to appear on a timeline with links to and from the various tools I use Sounds like what you want is a repeatable, digital workflow. Using workflow software like Process Street (https://process.st) you can build that documentation as part of performing the work itself. You could capture, say, the AWS policies you create and the ARNs they’re... - Source: Hacker News / over 2 years ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 11 days ago
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 / 12 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 17 days ago
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 / 19 days ago
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 / 10 months ago
Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Pipefy - Pipefy is a process management software that empowers anyone to create and automate efficient workflows on their own without code.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
OpenCV - OpenCV is the world's biggest computer vision library
