Schedule, Track & Plan with Hub Planner Resource Management Software
Innovative Resource Management Solution Get the ultimate birds eye view of your resource management and team with Hub Planner. Quickly view resources availability, utilization and schedule your team on projects using Hub Planners interactive drag and drop scheduler. Capacity planning made easy with the skills matching and capacity finder.
Integrated Time Tracking & Approval Engage Teams with Timesheets. Measuring the actual time reported via timesheets versus the forecasted time via the resource scheduler gives you valuable insight into your teams performance.
Team Analytics & Generate Dynamic Reports View instant project and resource stats in real time via the dashboards and reports. Build, save and share custom made reports using the powerful Hub Planner reports. Use the dashboard to track down to the individual resource or project performance making resource management a painless task. The Audit Log will help track all scheduling changes.
Plan & Calculate Project Budgets & Spend with Phases and Milestones Within the Hub Planner scheduler, you can plan your project budgets, use dynamic billing rates and calculate project spend..
Vacation, Annual Leave and PTO Request & Approval Flow Allow your team to transparently schedule and request time off directly from the scheduler or request forms with the Vacation & Annual Leave requesting functionality.
Based on our record, NumPy seems to be a lot more popular than Hub Planner. While we know about 119 links to NumPy, we've tracked only 1 mention of Hub Planner. 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.
We use https://hubplanner.com/ . It is a little clumsy but better than most. Source: almost 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
teamdeck - Teamdeck is a SaaS resource management tool with resource scheduling, leave management, time tracking and timesheet, and customizable reports features. Selected by Hill-Knowlton, Stormind Games, Wunderman Thompson. $3.60/per member.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Runn - Runn is a real-time resource management platform with integrated time tracking and forecasting. Intuitively plan projects and schedule resources across the short and long term.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Keyedin Projects - Keyedin Projects is a cloud-based project and portfolio management software.
OpenCV - OpenCV is the world's biggest computer vision library