Software Alternatives, Accelerators & Startups

Jobber VS socketify.py

Compare Jobber VS socketify.py and see what are their differences

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Jobber logo Jobber

Jobberโ€™s field service scheduling software and app is the best way to organize your service business. Quote, schedule, invoice, and get paidโ€”all in one place. Our easy-to-use app powers your sales, operations, and customer service.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • Jobber Landing page
    Landing page //
    2023-09-10
  • socketify.py Landing page
    Landing page //
    2023-09-24

Jobber features and specs

  • User-Friendly Interface
    Jobber offers a clean and easy-to-navigate user interface, making it simple for users to manage tasks and access features without a steep learning curve.
  • Comprehensive Functionality
    The platform provides a wide range of features including scheduling, invoicing, customer management, and reporting to streamline operations for small businesses.
  • Mobile App
    Jobberโ€™s mobile app supports field service professionals by allowing them to manage their jobs, quotes, and customer information on the go.
  • Customer Support
    The company offers robust customer support through various channels, including phone, email, and live chat, to assist users with any issues or questions.
  • Integrations
    Jobber integrates with several other popular software tools like QuickBooks, Stripe, and Mailchimp, enhancing its functionality and compatibility.

Possible disadvantages of Jobber

  • Pricing
    Jobber can be relatively expensive for small businesses, and some users may find the pricing plans not entirely justified by the features offered.
  • Limited Customization
    Some users have expressed a need for more customization options within the platform to better suit their specific operational requirements.
  • Reporting Limitations
    While Jobber does offer reporting features, some users feel they are not as advanced or flexible as needed for in-depth business analysis.
  • Learning Curve for Advanced Features
    Although the platform is user-friendly, some of its more advanced features can have a steep learning curve, requiring time and effort to master.
  • Occasional Sync Issues
    Some users have reported occasional synchronization issues between Jobber and integrated third-party applications, which can disrupt workflows.

socketify.py features and specs

  • High Performance
    Socketify.py is designed for high scalability and performance, leveraging an efficient event loop and native extensions to handle a large number of concurrent connections efficiently.
  • WebSocket Support
    The library provides built-in support for WebSockets, making it suitable for real-time applications where persistent connections between client and server are necessary.
  • Asynchronous I/O
    Socketify.py is built on top of asynchronous I/O paradigms, allowing non-blocking operations that can improve the throughput of networked applications.
  • Ease of Use
    The library offers a clean and straightforward API with examples and documentation, which lowers the barrier to entry for developers who are new to network programming in Python.
  • Python Integration
    Being a Python library, socketify.py integrates well with existing Python applications and can be included as part of larger, multi-component systems.

Possible disadvantages of socketify.py

  • Limited Adoption
    As a relatively new or niche library, socketify.py might have a smaller user base and community compared to more established frameworks like Flask or Django, which could result in fewer community resources and third-party integrations.
  • Learning Curve
    For developers who are accustomed to synchronous programming paradigms, adapting to the asynchronous programming model of socketify.py may require an initial learning investment.
  • Documentation Depth
    While there is documentation, it might not be as extensive or comprehensive as those of more mature libraries, potentially requiring more experimentation or source code reading to fully grasp advanced features.
  • Potential Stability Issues
    Being less established, there might be undiscovered bugs or stability issues in production environments compared to long-standing Python networking libraries.
  • Ecosystem Limitations
    The library might lack some of the extensive third-party plugins or tools available in more popular frameworks, which could limit its extensibility.

Analysis of Jobber

Overall verdict

  • Overall, Jobber is highly rated by its users and is known for its comprehensive set of features that empower service-based businesses to manage their work more effectively. Its ability to integrate with various other applications and provide robust mobile functionalities adds to its appeal, making it a reliable solution for many companies.

Why this product is good

  • Jobber is considered a good option for field service management because it offers a range of features designed to streamline operations for small to medium-sized businesses. It provides tools for scheduling, invoicing, client management, and payment processing, all in a user-friendly interface. The platform is praised for its ease of use, customization options, and effective customer support, making it a strong choice for businesses needing efficient workflow management.

Recommended for

    Jobber is recommended for small to medium-sized businesses that operate in industries such as landscaping, HVAC, plumbing, electrical, and other field service sectors. These businesses can benefit from Jobber's scheduling capabilities, seamless invoicing, and client management features to optimize their daily operations and improve customer satisfaction.

Analysis of socketify.py

Overall verdict

  • Socketify.py is a solid choice for developers seeking a high-performance web framework in Python, particularly for I/O-bound applications requiring speed comparable to frameworks in compiled languages, thanks to its use of uWebSockets under the hood.

Why this product is good

  • Built on uWebSockets, providing significant performance improvements over traditional Python web frameworks
  • Supports WebSockets natively, making it suitable for real-time applications
  • Lightweight and minimalistic design reduces overhead
  • Compatible with ASGI, allowing integration with existing Python async ecosystem
  • Active development and growing community support on GitHub
  • Good for building high-throughput APIs and services

Recommended for

  • Developers building real-time applications like chat apps or live notifications
  • Projects requiring high concurrency and low latency in Python
  • Teams looking to replace slower WSGI-based frameworks with something faster
  • Applications needing WebSocket support without heavy framework overhead
  • Microservices architectures where performance is critical
  • Python developers wanting an alternative to Node.js for performance-sensitive tasks

Jobber videos

Jobber - Service Business Scheduling and Invoicing Application

More videos:

  • Review - Housecall Pro vs. Jobber
  • Review - My thoughts about using the Jobber software

socketify.py videos

No socketify.py videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Jobber and socketify.py)
Field Service Management
100 100%
0% 0
Python
0 0%
100% 100
Work Management
100 100%
0% 0
Web Development
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 Jobber and socketify.py

Jobber Reviews

7 Best Workiz Alternatives in 2025 (Tried, Compared)
Jobber is a Workiz alternative built for small teams that run repeat jobs and want built-in workflows. Itโ€™s a good fit if you need a simple setup with features like customer reminders, recurring scheduling, and batch invoicing.
7 Best Field Service Management Software for Small Businesses in 2025
Review #2: โ€œOverall, Jobber is an amazing product. A product I wouldn't run my business without!! However, there is some room for improvement within the system to give the business owner more control over their files and billing.โ€ โ€“ Melody N.

socketify.py Reviews

We have no reviews of socketify.py yet.
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Social recommendations and mentions

Based on our record, Jobber should be more popular than socketify.py. It has been mentiond 18 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.

Jobber mentions (18)

  • Show HN: Windmill โ€“ fastest open-source workflow engine โ€“ the how
    I wonder how far you'd get with the very "not technical" https://getjobber.com/ Only because you said "sell service to client", schedule date with client, etc. - Source: Hacker News / over 2 years ago
  • Need advice: What software do you use for subscription based payments and managing customers?
    Some stuff I have looked into: Field Routes: https://www.fieldroutes.com Jobber: https://getjobber.com// Service Titan: https://www.servicetitan.com Some of my buddies at school are talking about making a cheaper and simpler software just to do subscription based payments and the automatic texting and emailing stuff for window servicing specifically. But IDK when they're gonna finish it. Source: about 3 years ago
  • My family owns a repair shop need something to track jobs.
    I found this with a google search of the above term: https://getjobber.com. Source: over 3 years ago
  • Would you advertise your previous successful but completely unrelated work experience?
    Two that come to mind are https://www.jobnimbus.com/ and https://getjobber.com/. Source: over 3 years ago
  • Old Buisness Who Dis
    I know that our clients in traditional on-site work have liked 'Jobber' If you google 'your industry + CRM' you will get on the right track. You'll probably be looking at spending $20-40 a month. Source: over 3 years ago
View more

socketify.py mentions (2)

  • Show HN: Python framework is faster than Golang Fiber
    These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
  • This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
    After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago

What are some alternatives?

When comparing Jobber and socketify.py, you can also consider the following products

HouseCall Pro - HouseCall Pro is a top rated mobile app that will put you in control & delight your customers. Scheduling, dispatching, GPS tracking, invoicing, credit cards & more.

ServiceTitan - #1 Management Software for Home Service Contractors.

Workiz - Workiz is an intuitive Field Service Management and Scheduling Software. Use cloud-based invoicing, scheduling, SMS messaging, CRM, work orders and more to manage your service business.

ServiceM8 - ServiceM8 (Service Mate) is cloud software that allows you to manage any service business. Manage jobs, produce mobile quotes and invoices on the go. Get Control.

Tradify - Tradify is a Job Management software for the trade contractor it can track every job from quote to invoice, helps to stay on top of workflow by tracking the jobs and team at all times.

Kickserv - Kickserv Field Service Software provide sales, estimates, job tracking, invoicing and more for your mobile field service team.