Software Alternatives, Accelerators & Startups

Precoro VS Scikit-learn

Compare Precoro VS Scikit-learn and see what are their differences

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Precoro logo Precoro

Precoro is a robust procure-to-pay system for your business. Automated purchasing, simple sourcing and spend analytics โ€” all in one easy-to-use platform!

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Precoro Mobile App (IOS & Android)
    Mobile App (IOS & Android) //
    2024-05-30
  • Precoro Dashboard
    Dashboard //
    2024-05-30
  • Precoro Purchasing documents
    Purchasing documents //
    2024-05-30
  • Precoro Approval workflow
    Approval workflow //
    2024-05-30
  • Precoro Budgeting
    Budgeting //
    2024-05-30

  • Approve documents 2,5x faster from any device using email or Slack notifications. Streamline approval workflow by adding as many steps as you need and assigning specific roles for colleagues.

  • Save up to 19% of your purchasing budget. Track discounts and never spend more than planned. Increase cash flow transparency by monitoring corporate expenses (including reimbursements). Get clear analytics and insightful reports to plan your procurement strategy more thoughtfully.

  • Reduce manual data entry. Create, approve and track POs just in a few clicks or transfer your orders from Amazon Business via Punch-in. Manage suppliers, item catalogs, inventory, and more within one platform.

  • Connect Precoro with your ERP and other business tools using ready-made integrations (NetSuite, QuickBooks, Xero) or a free API. Forget about duplicated payments and manual document matching.

  • Keep all your data secure with SSO and reliable 2-factor authentication.

  • Available for both iOS and Android devices, the Precoro mobile app brings key aspects of your procurement workflow into the palm of your hand.

Precoro's user-friendly interface lets you forget about complex onboarding and long-lasting training. You'll get advisory and support from your CSM anytime you need it. Precoro grants you access to all features and updates regularly.

Sincerely yours, Precoro team

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Precoro

$ Details
paid Free Trial $499.0 / Monthly (for "Core" package)
Platforms
Web Browser Windows Android iOS Google Chrome Mac OSX Firefox Linux Safari Cloud Chrome OS Opera
Release Date
2015 January
Startup details
Country
United States
State
New York
City
Brooklyn
Founder(s)
Andrew Zhyvolovych
Employees
100 - 249

Precoro features and specs

  • Purchase Requests
    All the requests in one place. Clear statuses. Streamlined approval workflow. Ecommerce experience with a product catalog. Request analytics.
  • Purchase Orders
    Automatic Purchase Order creation. Instant conversion of Requests into Orders. Automatic supplier sending. File attachments, PO export. Internal comments.
  • Approval Workflow
    Customisable approval workflow. Approvals on locations, departments, custom fields. Smart notifications. Thresholds and policies for a precise routing. Mobile on-the-go approvals.
  • Budget management
    Budget for locations, departments, custom fields. Automatic budget limits Insightful reports. Real-time budget control with a progress bar. Bulk upload and management.
  • Reporting
    Three types of report: visual, standard and custom. 20 filters for precise reports. 2-click access to the real-time data. 120+ customizable fields for custom reports. Export into your accounting software.
  • Integrations
    No more manual data entry for accounting teams. Two types of integration: automatic and flat-file Integrate with QuickBooks Online, Xero, NetSuite, etc. Purchase Orders, Invoices, Suppliers and Statuses matched. Automatic field matching for flat-file integration.
  • Inventory Tracking
    Warehouse management. Stock tracking. Good receipts for the warehouse. Stock requests and approvals. Stock transfers.
  • 3-way matching
    Purchase Order <-> Receipt <-> Invoice โ€ฆ all matched in real time. Discrepancy tracking. Supplier's invoices tolerance rates. Customisable exceptions and additional workflows. Order revision.
  • Supplier Management
    Suppliers Portal. Infinite product catalog. Contract Management Reports on supplier performance. Suppliers list and contact storage.
  • User Management
    User access restrictions. Multiple countries, various currencies, and all your offices in one account. Single Sign-On with PingOne, Azure AD, OKTA, Keycloak. 2-factor authentication. No training required.
  • Reimbursement management
    The Expenses module allows you to cover requests for reimbursement of spent money and corporate expenses.
  • Mobile App
    Available for both iOS and Android devices, the Precoro mobile app brings key aspects of your procurement workflow into the palm of your hand.

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Analysis of Precoro

Overall verdict

  • Overall, Precoro is well-regarded as a reliable and efficient tool for businesses seeking to optimize their procurement processes and enhance spend management.

Why this product is good

  • Precoro is considered a good procurement and spend management solution because it offers features such as purchase order management, invoice processing, and budget tracking. It is designed to streamline procurement workflows, improve transparency, and control over spending. Users appreciate its user-friendly interface, real-time analytics, and customizable reporting features that enhance decision-making.

Recommended for

    Precoro is recommended for small to medium-sized businesses and organizations that need to automate their procurement processes, improve cost control, and enhance transparency in purchasing and spending. It is suitable for companies across various industries looking for a scalable solution to manage their procurement activities efficiently.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Precoro videos

What is Precoro?

More videos:

  • Demo - Streamlined approvals, smart budgeting and expense tracking, automated PR and PO processing โ€” all in one procurement software. Precoro is simple to use, fast to implement. Enjoy a broad range of features, including integrations with NetSuite and Quickbooks, and free API. Get total security with SSO and reliable 2-factor authentication, and gain transparency of the procurement process through automated reporting. All features are available in all plans. There are no hidden fees or complicated pricing tiers.

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Precoro and Scikit-learn)
Procurement And Purchasing
Data Science And Machine Learning
Small Business
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Precoro and Scikit-learn

Precoro Reviews

  1. Andrii
    ยท co-founder at Effy ยท
    PRs, POs, invoices, vendor catalog - all in one system

    We can track each purchase order, who created it, and why. They are no longer lost, and we can always see the history. The dashboard allows us to monitor information about all essential documents and at what stage they are now and keep track of which invoices have not yet been paid or partially paid. By setting up budgets for each department, we can effectively plan the allocation and prevent overspending. The system is very flexible and convenient. I can't imagine my work without it.

    ๐Ÿ Competitors: Procurify
    ๐Ÿ‘ Pros:    Reimbursement management|Purchase order management|Supplier management|Financial reporting|Handy dashboard|Ease of use
    ๐Ÿ‘Ž Cons:    I'm satisfied with the way precoro handles its task. there are a few things that could be automated. for example, editing multiple pos at once
  2. dkulaksyz
    ยท PM at Stripo Inc ยท
    Easy onboarding and great value for money

    I easily plan budgets for each project, promptly track spending, and create custom reports. Precoro allows doing this in 2 clicks. All suppliers and items are in one place, so purchase requests and orders are quickly created without errors. Precoro is a cloud-based tool, so I can use it from any device as long as I have internet. This greatly speeds up approval time and helps me keep everything under control no matter where I am.

    ๐Ÿ Competitors: Procurify
    ๐Ÿ‘ Pros:    We'll never go back to excel spreadsheets again. one solution meets all our needs and even more. visible approval workflow, budget section for each department, custom reporting fields, and item catalog make purchasing very easily manageable.
    ๐Ÿ‘Ž Cons:    Nothing, everything that becomes an issue is easily taken care of by their customer success team.
  3. Amy
    ยท Operations Manager at Expandi ยท
    Very helpful software, easy to use!

    Each employee has access to Precoro at least for purchase requisition creation. This is very convenient because the budgets of each department are visible to their employees. Attachments and comments can be added to the requisitions, and items are added directly from the loaded catalog. All subsequent docs (from purchase order to receipt) are created automatically, significantly saving time. All statuses can be tracked in real-time and are always correct. The approval process is customizable; creating 1 or more stages to comply with the company's rules is possible.

    ๐Ÿ Competitors: Procurify
    ๐Ÿ‘ Pros:    High level of adaptation to the specific processes of each company or department|Customer support team to help set up processes, conduct employee training, and solve all related issues.|Saving time for all employees by automating and speeding up the ordering process|Precise cost analytics for efficient planning and budget management|Improved communication with the finance department
    ๐Ÿ‘Ž Cons:    We didn't have the option to add attachments when creating a vendor, but precoro fixed that in the last update.

Top 9 Procurement Tools for SMBs (2024)
Moreover, Precoro improves your purchasing system by improving your approval workflow. Workflow stages such as request process, purchase orders, approval, billing, and invoice management can be done electronically with this tool.
Source: geekflare.com
10 Best Procurement Management Software Tools in 2023
Precoro comes with a lot of features for requesting, approving, ordering, contract management, and controlling procurement. Precoro is totally customizable and you have the freedom to automate just about anything. ๐Ÿค–
Source: clickup.com

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

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.

Precoro mentions (0)

We have not tracked any mentions of Precoro yet. Tracking of Precoro recommendations started around Mar 2021.

Scikit-learn mentions (40)

  • Detecting Ingress Tool Transfer (T1105) with Python
    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
  • Best AI Cybersecurity Training for Security Teams: How to Pick
    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
  • Where to Get Hands-On AI Training for Cybersecurity Professionals
    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
  • How Anomaly Detection Actually Works in Security Operations
    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
  • Building a Personalized Meal Recommendation System
    In practice, youโ€™ll 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
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What are some alternatives?

When comparing Precoro and Scikit-learn, you can also consider the following products

Procurify - Reinvent the way organizations spend to make the purchasing process more accessible, manageable and convenient.

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

Ariba - Ariba is a software and information technology services platform providing companies with collaborative business commerce solutions.

NumPy - NumPy is the fundamental package for scientific computing with Python

BuyerQuest - BuyerQuest is the cloud platform for buying at work. The only provider offering true one-stop shopping for goods and services for everyone in your organization. Join the procurement revolution.

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