Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Harvest
Toggl
TimeCamp
RescueTime
Time Doctor
Everhour
Pomodone
Futuramo Time Tracker
Scikit-learn HarvestHarvest has significantly improved our workflow. Its reporting make project management a breeze.
A nice simple interface and plenty of rich features really make this application essential.
Has a lot of features when compared to it's competitors out there.
Based on our record, Scikit-learn should be more popular than Harvest. 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 / about 1 month 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 / about 2 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 / 2 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 / 3 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 / 5 months ago
If thatโs not enough, Iโve had good experience with http://getharvest.com (and accompanying tools from them). Source: about 3 years ago
Https://getharvest.com/ : time tracker for contract work. Source: about 3 years ago
I use getharvest.com to track hourly and convert them to invoice. The only thing I don't like is that I have to add the task in the web dashboard rather than entering directly in the desktop app. There is 'note' field, but it won't show up in the invoice detail, so it is useless for me. Source: about 3 years ago
I think for your business the best way to go is with a premade app for time logs and invoicing. My wife uses Harvest for her business: https://getharvest.com. Source: about 3 years ago
I use Harvestto invoice and track time. You can also use QuickBooks. Source: over 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Toggl - Toggl is an online time tracking tool. It features 1-click time tracking and helps you see where your time goes. Free and paid versions are available.
NumPy - NumPy is the fundamental package for scientific computing with Python
TimeCamp - Simple and robust time tracking app to help you stay on the same page with your team while working from home.
OpenCV - OpenCV is the world's biggest computer vision library
RescueTime - Time management software that shows you how you spend your time & provides tools to help you be more productive.
