TelemetryTV
Yodeck
ScreenCloud
OptiSigns
Xibo
Rise Vision
Screenly Pro
Arreya
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
TelemetryTV is a powerful digital signage platform built for the modern communicator who needs to engage audiences, generate awareness, or give their community a voice.
TelemetryTV allows users to broadcast dynamic content easily by streaming video, images, social feeds, turnkey & custom apps, and data-driven dashboards to all of your displays wherever they are.
Key Differentiators: - Cloud-Based & Built for Scale - Works on Windows, macOS, ChromeOS, Android, and Linux - Dedicated Customer Success Manager - Extensive App Library & Content Templates - Powerful Scheduling and Display Management - Groups & Permission Settings - Playlist Publish Approvals - Video Wall Capabilities & Screen Zones - Alerting & Screen Override System - Device Status Notifications - Real-time Dashboards (via REST API & Webhooks) - SSO Support - Works Offline
TelemetryTV powers marketing and internal communications at Starbucks, New York Public Library, Stanford University, and more.
The backbone of our success stems from being agile, open to communication, and collaborative. We love constant learning, challenging the status quo, and listening to our customers.
We believe in a future where our walls will talk. What do you want them to say?
TelemetryTV Scikit-learnWith our old software i updated my digitals about 4 times per year, it was not user friendly and it was such a chore! I have been using Telemetry TV for under 6 months and it is so easy to use! And, has CANVAS. Well done!
We picked TelemetryTV because we were impressed by the ease of deployment and flexibility of device management. It was effortless to test with the free single license and the ability to run on devices to see if it was a good fitโno need to waste time waiting for hardware specifically for testing. While an online demo was excellent, being able to dive into the system helped us make a swift decision in our limited project timeframe.
Telemetry's Webshots feature allows us to share dashboards and apps on screens for tools hosted within our offices' private network without compromising login/password credentials and purchasing expensive 3rd party software licenses for each team member.
Based on our record, Scikit-learn seems to be more popular. It has been mentiond 40 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.
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / 3 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 3 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 3 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 4 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 6 months ago
Yodeck - Yodeck enables you to design and schedule your digital signage on Raspberry Pi easily from the web, using your computer, tablet or smartphone.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ScreenCloud - Turn any screen into a powerful communication channel. ScreenCloud is the top-rated digital signage OS that securely displays metrics, news, and media on TVs. Seamlessly integrates with 90+ apps like Teams & Power BI.
NumPy - NumPy is the fundamental package for scientific computing with Python
OptiSigns - OptiSigns Digital Signage is a platform that helps users to make any screen a digital sign for information or advertisement.
OpenCV - OpenCV is the world's biggest computer vision library