Shottr is a tiny and fast mac screenshot tool with annotations, beautiful backgrounds, scrolling screenshots and S3 upload capabilities. Built with love and optimized for Apple silicon.
Designed to be lightweight
Shottr is a tiny (2.3mb dmg) native app optimized for Apple Silicon. It takes only 17ms to grab a screenshot, and ~165ms to show it to you.
Beautiful Backgrounds
Make your screenshots stand out with gradients backgrounds, shadows and rounded corners.
Scrolling Screenshots on Mac
Take a screenshot of a long web page or capture conversation in a chat. Any app, any window.
Pixelate or remove objects
Hide parts of your screen behind pixelated curtain, or remove sensitive information as if it was never there. Text mode hides text without corrupting anything else.
Text recognition (OCR) & QR
Came by a text that won’t select? Press a hotkey and select an area — Shottr will parse the text and copy it to the clipboard. OCR feature also reads QR codes.
Combine Screenshots
Take multiple screenshots and put them on the same canvas using the Add Capture button on the toolbar.
Resize Screenshots
Make your screenshots bigger or smaller, right in the app (click on the image size in the upper right corner).
Pin Screenshots
Pin images as floating always-on top borderless windows. Convenient for keeping references, or as a temporary screenshots storage.
Markup screenshots
Add text, freehand drawings, highlights, spotlights and other visual effects to your drawings.
Overlay Images
Paste images on top of your screenshots. Make overlays semi-transparent to highlight the differences, or generate two-frame before/after animations.
Use it as a Screen Ruler
Press ↑ or ↓ key and move your mouse to measure vertical size, ← or → for horizontal size. Click to imprint the measurement on the screenshot.
Unclutter your desktop
Select a dedicated folder to save screenshots on ⌘ s. Great for purchase receipts, reminders, archive items, random images, etc.
Zoom in on your pixels
Think of Shottr as your digital magnifying glass. If you need to have a closer look at something, take a screenshot and zoom in.
Color picker
Take a screenshot, zoom in, move your mouse over the pixel and press the TAB key to copy color under the cursor.
Frequently Asked Questions
Is Shottr free?
Shottr can be used for free for as long as you want. Most of its features are available to free users; the main caveat is that the app will ask you to consider buying it every once in a while. Shottr generally provides a better overall experience in the activated version, and I plan to add more features and raise its price in the future.
Can Shottr upload the image online and copy link?
Shottr has the upload feature, but it needs to be activated. Here are
more details on how it works.
Which macOS versions are supported?
Shottr runs on macOS Catalina (10.15) and up.
When and why does Shottr contact Shottr.cc?
After launch Shottr contacts
https://shottr.cc/api/version.json to check for an update. It won't download a new version, but will notify you with a red icon in the toolbar. Shottr needs an internet connection to validate and activate the license. It also sends home telemetry to help me find bugs, measure performance and gauge popularity of certain features. Telemetry does not contain any personal or identifiable information. It's not used for advertising or retargeting purposes, and is never sold to the third parties. There's an option to turn off telemetry collection in the app Preferences. Earlier versions of Shottr included Google Analytics code, but it was removed in v1.5.1.
Ds4b 101-p- Python For Data Science Automation -
By the end of this course, you will be able to:
DS4B 101-P empowers analysts to automate data workflows using Python. Through hands-on labs and a capstone project you'll learn data ingestion, cleaning, scheduling, orchestration, automated reporting, and simple deployment patterns — all using real-world tools like pandas, Prefect, and Docker.
You have the script; now you need the robot to run it. This module covers three levels of scheduling:
The DS4B 101-P: Python for Data Science Automation course, taught by Matt Dancho DS4B 101-P- Python for Data Science Automation
at Business Science University, is a project-based program designed to transform how business analysts approach repetitive tasks. Instead of manual data crunching, the course focuses on converting business processes into automated, Python-based data products. Core Curriculum & Workflow
The course is structured around three streamlined phases that mirror a real-world business automation project:
Data Analysis Foundations: Mastering the core "bricks" of the Python data science ecosystem, including Pandas for data manipulation and NumPy. By the end of this course, you will
Time Series Forecasting: Learning to build predictive models that help organizations anticipate future trends.
Reporting Automation: Creating automated delivery systems, such as reports and SQL database updates, to provide stakeholders with on-demand insights. Key Benefits for Professionals
End-to-End Skillset: You don't just learn to code; you learn to build a complete system, from connecting to a transactional database to outputting executive-ready deliverables. You have the script; now you need the robot to run it
No Prerequisites: The course is built for "serious beginners," meaning it teaches foundational programming logic specifically through the lens of data science automation.
Business Transformation: The primary goal is to help organizations reduce errors and improve scale by replacing fragile manual processes with robust Python scripts. Practical Project Focus
Unlike theoretical bootcamps, this course is highly practical. A central project involves building a Forecasting and Reporting System, which involves modularizing data preparation and specifying SQL data types for robust database writes. This approach ensures you finish with a portfolio-ready automation tool rather than just a certificate.
DS4B 101-P: Python для автоматизации обработки данных
Here’s a professional course write-up for DS4B 101-P: Python for Data Science Automation, suitable for a syllabus, course catalog, or learning platform.