Software Alternatives, Accelerators & Startups

Prometheus VS TensorFlow

Compare Prometheus VS TensorFlow and see what are their differences

Prometheus logo Prometheus

An open-source systems monitoring and alerting toolkit.

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • Prometheus Landing page
    Landing page //
    2021-10-13
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Prometheus videos

How Prometheus Monitoring works | Prometheus Architecture explained

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Prometheus and TensorFlow)
Monitoring Tools
100 100%
0% 0
Data Science And Machine Learning
Log Management
100 100%
0% 0
AI
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 Prometheus and TensorFlow

Prometheus Reviews

Top 11 Grafana Alternatives & Competitors [2024]
Under the hood, Grafana is powered by multiple tools like Loki, Tempo, Mimir & Prometheus. SigNoz is built as a single tool to serve logs, metrics, and traces in a single pane of glass. SigNoz uses a single datastore - ClickHouse to power its observability stack. This makes SigNoz much better in correlating signals and driving better insights.
Source: signoz.io
GCP Managed Service For Prometheus vs. Levitate | Last9
Levitate is up to 30X cost-efficient compared with Google Managed Prometheus. This is possible because of warehousing capabilities such as data tiering, streaming aggregations, and cardinality controls, making it a much superior choice to Google Managed Prometheus.
Source: last9.io
The Best Open Source Network Monitoring Tools in 2023
Description: Prometheus is an open source monitoring solution focused on data collection and analysis. It allows users to set up network monitoring capabilities using the native toolset. The tool is able to collect information on devices using SNMP pings and examine network bandwidth usage from the device perspective, among other functinos. The PromQL system analyzes data...
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Prometheus and Grafana are used together as an open-source monitoring and alerting solution with support for Linux servers. Prometheus mainly collects the Linux hardware and OS metrics exposed by *nix kernel and then stores as time-series data, using a pull model over HTTP. You can find metrics information in a multi-dimensional data model of the timestamped metrics (i.e.,...
Source: sematext.com
10 Best Open Source Monitoring Software for IT Infrastructure
This list won’t be complete without including two fantastic open-source solutions – Prometheus and Grafana. Its DIY solution where you use Prometheus to scrape the metrics from server, OS, applications and use Grafana to visualize them.
Source: geekflare.com

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

Based on our record, Prometheus seems to be a lot more popular than TensorFlow. While we know about 230 links to Prometheus, we've tracked only 7 mentions of TensorFlow. 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.

Prometheus mentions (230)

  • Fastly and the Linux kernel
    The open source projects Fastly uses and the foundations we partner with are vital to Fastly’s mission and success. Here's an unscientific list of projects and organizations supported by the Linux Foundation that we use and love include: The Linux Kernel, Kubernetes, containerd, eBPF, Falco, OpenAPI Initiative, ESLint, Express, Fastify, Lodash, Mocha, Node.js, Prometheus, Jenkins, OpenTelemetry, Envoy, etcd, Helm,... - Source: dev.to / 18 days ago
  • 26 Top Kubernetes Tools
    Prometheus is the best-known time-series database engine. It has many use cases, but in the context of Kubernetes, it's a great way to store and query metrics that provide observability for your cluster and its workloads. You can receive alerts when metrics change, such as a Node CPU usage spike or a Pod failure, and integrate with tools like Grafana to visualize your values on dashboards. - Source: dev.to / 24 days ago
  • Best Practices for Building Microservices with NestJS
    Implement health checks and monitoring to ensure the availability and performance of your microservices. Use tools like Prometheus, Grafana, or NestJS built-in health checks. - Source: dev.to / about 1 month ago
  • Kubernetes for Beginners
    Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart:... - Source: dev.to / about 2 months ago
  • The Impact of API Response Time on Performance: What You Need to Know
    Monitoring tools and performance profiling methods are invaluable in identifying performance bottlenecks. These tools provide real-time insights into API behavior, enabling developers to spot inefficiencies and potential issues. There's a range of monitoring tools, including platforms like New Relic, Datadog, and Prometheus that offer extensive performance metrics like response times, error rates, and resource... - Source: dev.to / about 2 months ago
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TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    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 1 year ago
  • Need help with a Tensorflow function
    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: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    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: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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What are some alternatives?

When comparing Prometheus and TensorFlow, you can also consider the following products

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Zabbix - Track, record, alert and visualize performance and availability of IT resources

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