OpenVTS.io
Samsara
TrackoBit
Traccar
Gurtam
Navixy
GpsGate
GPSWOX
TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
Open VTS is built for businesses that want ownership, control, and stronger security over their vehicle tracking environment. Run the platform on infrastructure you control, keep operational data within your own systems, manage access on your terms, and reduce dependence on vendor-controlled SaaS platforms. Your infrastructure. Your data. Your control.
OpenVTS.io TensorFlowNo features have been listed yet.
OpenVTS.io's answer
Open VTS is a self-hosted vehicle tracking platform designed for organizations that want complete ownership of their GPS tracking infrastructure. Unlike many tracking platforms that operate as SaaS services, Open VTS allows businesses to deploy the software on their own servers, maintain full control of their data, customize the platform according to their requirements, and avoid recurring per-vehicle subscription fees. It combines enterprise-grade fleet tracking capabilities with a simplified deployment experience, making advanced GPS tracking more accessible to businesses of all sizes.
OpenVTS.io's answer
Businesses choose Open VTS when they want greater control, flexibility, and long-term cost efficiency.
Key advantages include:
Self-hosted deployment with full data ownership. No dependency on third-party SaaS providers. Reduced long-term operational costs compared to per-vehicle subscription models. Extensive customization and integration capabilities. Ability to deploy on private infrastructure for enhanced security and compliance. Modern fleet management, tracking, monitoring, and reporting capabilities. Scalability for both small fleets and large enterprise deployments.
Open VTS is particularly attractive to organizations that value ownership, security, and independence from vendor lock-in.
OpenVTS.io's answer
The primary audience of Open VTS includes:
Logistics and transportation companies. Fleet operators managing commercial vehicles. GPS tracking service providers. Vehicle tracking startups. System integrators and software development companies. Government and public-sector organizations. Enterprises that require self-hosted infrastructure and data sovereignty.
Open VTS is especially well suited for organizations operating medium to large fleets that require complete control over their tracking platform.
OpenVTS.io's answer
Open VTS was created from a simple belief: businesses should own and control the technology that powers their operations.
Many fleet operators and GPS tracking providers rely on platforms that limit customization, create vendor dependency, and require ongoing subscription costs. Open VTS was built to offer an alternativeโa platform that gives organizations complete ownership of their vehicle tracking infrastructure.
The vision behind Open VTS is to make enterprise-grade GPS tracking accessible, customizable, and deployable by organizations that want freedom, security, and long-term control over their fleet technology.
OpenVTS.io's answer
Open VTS is built using modern web and infrastructure technologies, including:
TypeScript JavaScript React Next.js Node.js PostgreSQL Docker REST APIs Real-time communication technologies Modern mapping and geospatial technologies Cloud and self-hosted deployment infrastructure
The platform is designed with scalability, performance, and extensibility in mind.
OpenVTS.io's answer
Open VTS does not publicly publish a verified list of its largest customers.
If customer references become publicly available, they should be listed here. Until then, it is best not to claim specific organizations as customers without explicit public permission or published case studies.
No publicly disclosed enterprise customer list is currently available.
Based on our record, TensorFlow seems to be more popular. It has been mentiond 8 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.
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 5 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: over 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
Samsara - Samsara is a service provider that helps businesses in increasing their safety, efficiency, and sustainability in their operation, which power the economy.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
TrackoBit - White Label Fleet Management Software | GPS Tracking Software
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Traccar - Traccar is an open-sources modern GPS tracking platform written in Java and available to use on multiple platforms such as Linux, Mac OS and MS Windows etc.
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
