Float is the world's leading resource management software for agencies, studios, and firms. Since 2012, Float has been helping the world’s best teams including RGA, VICE, Deloitte, and Buzzfeed schedule and deliver over 5.5million tasks, in more than 150 countries.
With an easy to use, intuitive interface, drag and drop features, and powerful editing tools, Float makes planning your projects and scheduling your team's time visual and simple. Search your schedule for practically anything and track your team's utilization with powerful reporting tools. Forecast your budget spend and plan ahead based on your team's real capacity and resources.
Integrate your schedule with Slack, Google Calendar and 1,000+ of your apps via Zapier. Access and update your Float schedule from anywhere with apps for iOS and Android.
By providing a single view of your real resource capacity and a shared calendar of who's working on what, Float makes team scheduling across multiple projects faster, easier and more efficient.
Based on our record, NumPy seems to be a lot more popular than Float. While we know about 119 links to NumPy, we've tracked only 2 mentions of Float. 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.
You wouldn't want something like NetSuite just for time entry. Try float.com, one of my clients uses this and it seems to be work and is simple. Source: about 3 years ago
Schedule more than one task to a team member per day i.e. Hours per task per day - float.com and avasa.com allows this. Source: over 3 years ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
ResourceGuru - The fast, simple way to schedule people, equipment, and other resources online.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
When I Work - When I Work is an employee scheduling and communication app using the web, mobile apps, text messaging, social media, and email.
OpenCV - OpenCV is the world's biggest computer vision library
Ganttic - Ganttic is a flexible resource management platform for scheduling teams, equipment, vehicles and multiple projects simultaneously. Save time, eliminate double bookings, and increase efficiency.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.