
SourceForge.net: ShellNewHandler details page

IBM SPSS Statistics
JASP
jamovi
Minitab
GraphPad Prism
BlueSky Statistics
DataSci Pro
Making statistics & data analysis simple.
Which is more popular?
Based on our record, ShellNewHandler seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | sourceforge.net | datatistics.app |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from Bangladesh · 1 - 9 employees |
| Listed in |
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of DataTistics.app yet.
Walkthroughs and reviews on video.
No ShellNewHandler videos yet. You could help us improve this page by suggesting one.
DataTistics Demo: No Code Statistical and Data Analysis
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing ShellNewHandler and DataTistics.app.
DataTistics.app's answer:
DataTistics is currently used by individual students researchers educators and data analysts. We do not currently have public enterprise customers to list.
DataTistics.app's answer:
DataTistics puts data cleaning statistical analysis visualization and reporting into one simple workflow. You can work with your data without needing to write code.
DataTistics.app's answer:
DataTistics is made for people who want to analyze data without learning R or Python first. It is simple to use and the core tools are free to try.
DataTistics.app's answer:
It is mainly for students researchers educators and anyone who works with data but does not want to code. It can also be useful for people who are learning statistics.
DataTistics.app's answer:
I started DataTistics because statistical analysis can feel complicated when you have to learn programming just to work with your data. I wanted to build a simpler tool that guides people from their data to their results and reports.
DataTistics.app's answer:
DataTistics is built with Python and FastAPI on the backend with PostgreSQL for the database. It uses pandas NumPy SciPy scikit learn and statsmodels for data analysis. The frontend uses HTML CSS and vanilla JavaScript. We also use Matplotlib Plotly and Seaborn for visualizations and LLM for AI generated reports.
Share your experience with using ShellNewHandler and DataTistics.app. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Use Shell New Handler. Run the portable app and simply untick the items you don't want to appear in your new context menu. Source: about 4 years ago
I've always used ShellNewHandler for this. It's a really simple portable utility that allows you to remove most of the items from that menu. Tested it out on Windows 11 and it's still compatible. Source: over 5 years ago
Tracking DataTistics.app since Sep 2026.