Software Alternatives, Accelerators & Startups

NumPy VS Fulcrum Pro

Compare NumPy VS Fulcrum Pro and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Fulcrum Pro logo Fulcrum Pro

We make software. For manufacturers. Really awesome software. That works well, and is pretty. Why? Faster rockets. Better cars. Cheaper production. What would happen if everything could be made 30% faster, better, stronger? Let's create that future
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Fulcrum Pro Landing page
    Landing page //
    2023-10-10

Fulcrum, a product by Atlas Solutions, is a SaaS enterprise ERP, MRP, and MES platform allowing small and mid-sized manufacturers to improve efficiency through workflow optimization and automated data collection. Fulcrum delivers value through a fully digital, paperless workflow leveraging machine learning, automation, predictive analytics, and advanced heuristics to drive throughput and profitability.

Software doesn't have to be complicated. The software you use in your personal life (Facebook, Uber, Amazon, etc.) is intuitive and you don't need training to understand how it works. Why should your business software be any different? We're helping manufacturers transition to cutting edge, future-proof software that lowers the stress of everyday operations, get more out of good employees that are difficult to hire, automate tedious tasks, and operate more efficiently than competitors.

Manufacturing is changing. Are you still using flip phone technology in an iPhone world?

Fulcrum Pro

$ Details
paid $500.0 / Monthly
Platforms
Google Chrome Browser Windows Android iOS Web Mac OSX REST API

NumPy features and specs

No features have been listed yet.

Fulcrum Pro features and specs

  • Easy to Set-up and use: Yes
  • Clean UI: Yes
  • Integrations: Yes
  • Analytics and Reporting: Yes
  • Automated workflow: Yes
  • Real time collaboration: Yes
  • Unlimited User Seats: Yes

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Fulcrum Pro videos

No Fulcrum Pro videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to NumPy and Fulcrum Pro)
Data Science And Machine Learning
ERP
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Manufacturing ERP
0 0%
100% 100

User comments

Share your experience with using NumPy and Fulcrum Pro. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Fulcrum Pro

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Fulcrum Pro Reviews

  1. Has the potential to become the key driver of growth in your manufacturing company
    What do you like best?

    We have been implementing and using Fulcrum at our manufacturing firm in New Zealand since December 2020. Our company has a headcount of 25, half spread across sales, marketing, engineering and admin, and the remainder as production team members working on the shop floor. We’ve doubled our headcount in the last 12 months, and are looking for tools to help us scale more rapidly. We believe that looking back in 5 years from now, Fulcrum may well be the tool that had the biggest effect on our growth.

    The launch team that we were paired with from day one of our implementation were instrumental in our successful launch. We had weekly video calls with them to help us understand the basics, they answered our myriad of questions and they helped us with preparing the data we needed to get Fulcrum live, but it’s also fair to say the implementation did take us a lot longer than first anticipated. A lot of these delays came down to the data set that we had. Our BOM’s were lacking clarity, and the process of getting the data into Fulcrum was not very streamlined. More details about this are in the section below.

    We rolled out a staged launch of Fulcrum in our business, with key components being switched over from the outgoing systems over the course of around 6 months. First Inventory management, then Jobs, and then lastly the Job Tracking component that is utilised on the shop floor by our production team members. We also had to complete a full stocktake on the day Job Tracking went live, to ensure the system had all the right information for scheduling.

    We are still getting our team completely up and running on Fulcrum’s automated schedule, but once we do, we believe that the superhuman knowledge of the Scheduler understanding every product, sub-component, machine, operation, staff member, inventory level, lead time and many more data points will allow us to scale our manufacturing at a rate not possible via anything else we’ve seen in the market.

    What do you dislike?

    We have a good relationship with the key staff at Fulcrum. From their implementation team, right through to their CEO. This is because their company is young, the product is still maturing, and they are experiencing the same growing pains that we are - and so with that, we have a lot of communication with them regarding the product, and the resolution of the problems or questions that we raise.

    We believe the core of the product is sound. The Scheduler is the magic sauce, and it works. But the user experience within the product from onboarding right through to day-to-day usage of the system by our team has room for improvement. It is also accurate to say that they are improving it. The product has been refined incrementally over the 10 months we have been using it and we hear that the pace of improvement will only increase into the future as they scale up their engineering team.

    Regarding the setup process. We have less than 2000 unique item numbers in our company, spread across 10 or so core products. Unfortunately, our previous inventory system kept these as flat BOM’s, so adding the data to tree those products for Fulcrum to understand took us a lot of time. Being based in New Zealand also didn’t help, as we needed a US-based Fulcrum team member to upload our data set each time we had another version to test. Due to the timezone differences, this was usually just a once per day operation whereas if the upload was possible via a user-facing page, we believe we could have been testing uploads multiple times per day. I wouldn’t be surprised if Fulcrum launch their own upload tool in the future just to take that load off their launch teams.

    There are a lot of other unique “Fulcrum characteristics” in the platform, that we’re not used to experiencing in other more mature SAAS platforms, but thankfully these are decreasing weekly, and we look forward to the system eventually being simple, clear and robust enough for all our staff to understand and use without too much oversight.

    Finally, the lack of quality user documentation due to the rapidly evolving platform also hindered our onboarding timeline as most information was learnt during our weekly meeting. While the meetings were good and I understand the reason behind the lack of docs so far, I was pleased to recently hear that user documentation is high on their priority list.

    What problems are you solving with Fulcrum PRO? What benefits have you realized?

    Our end goal for implementing Fulcrum at our company is to help enable rapid, scalable growth. More product out the door, faster and easier than before. We expect we will see that in the future, but because we’re only a few months into what we believe will be a multi-year journey, we’re not yet able to conclude whether this was made possible with Fulcrum.

    In the meantime, the process of preparing our data for entry into Fulcrum immediately gave us better quality BOMs. The flow-on effects from that mean better purchasing and inventory management. We also have greater visibility around what the team are completing each day and the real cost of manufacture.

    However, the key thing we’re still waiting to see the results from is the Scheduler. Once our production team members start to trust the Scheduler and work on what it asks them to work on, we believe that is when we will start to see efficiencies previously not imagined possible.

    🏁 Competitors: Vtelebyte

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Fulcrum Pro. While we know about 112 links to NumPy, we've tracked only 7 mentions of Fulcrum Pro. 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.

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 22 days ago
  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 22 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 27 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 29 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
View more

Fulcrum Pro mentions (7)

  • Ask HN: Who is hiring? (February 2024)
    The market tells us we’re on the right track and we're growing. Currently seventeen developers. (Many from HN!). Series A-2: https://fulcrumpro.com/ignite We’re serious about doing great work and we empower people to make it happen. Our favorite tools include C#, Angular, Vue, and serverless TypeScript. We’re primarily interested in finding intensely smart people with talent at their fingertips, regardless of what... - Source: Hacker News / 5 months ago
  • Where do manufacturers (especially smaller ones) get their news and info?
    While we have some initial customers in a wide range of industries, we've focused more and more on sheet metal and CNC shops that are roughly 8 - 80 employees with a stronger desire for more modern software (typically at a generational change, or a younger company). Would love your thoughts (fulcrumpro.com) even if you don't think it's a great fit. Source: over 1 year ago
  • Where do CNC folks get their news and content?
    Would love your thoughts even if it's not a great fit: fulcrumpro.com. Source: over 1 year ago
  • Looking for a Production Planning software
    Give a look at fulcrumpro.com — some great functionality in there for scheduling and job costing. Source: almost 2 years ago
  • Ask HN: Who is hiring? (September 2022)
    Fulcrum | Full Stack Developer | MSP, NYC | $110k - 250k+, benefits, and equity | Full-time, REMOTE-US AND ONSITE | https://fulcrumpro.com // Apply: https://fulcrumpro.com/job-listing?jobID=b3d9da4c-6ed7-4f6d-a264-2be76745c351 What we’re doing: We’re building the manufacturing operating system of the future based on modern software architecture and design principles, engineered to create network effects as we... - Source: Hacker News / almost 2 years ago
View more

What are some alternatives?

When comparing NumPy and Fulcrum Pro, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

MRPEasy - Cloud-based ERP Software for Small Manufacturers (10 - 200 employees)

OpenCV - OpenCV is the world's biggest computer vision library

Katana MRP - Katana Cloud Inventory gives you a live look at all the moving parts of your business — sales, inventory, and beyond. Combining a visual interface and smart real-time master planner, Katana makes managing inventory and manufacturing intuitive.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Smoothops - Smooth production with smoothops manufacturing software.