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  1. Stackups
  2. Application & Data
  3. Media Processing
  4. File Conversion
  5. Fallom vs Magika

Fallom vs Magika

OverviewComparisonAlternatives

Overview

Magika
Magika
Stacks0
Followers2
Votes0
GitHub Stars8.9K
Forks454
Fallom
Fallom
Stacks0
Followers1
Votes1

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CLI (Node.js)
or
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Detailed Comparison

Magika
Magika
Fallom
Fallom

It leverages the power of cutting-edge deep learning to enhance the world of file type detection. It provides increased accuracy and support for a comprehensive range of content types, outperforming traditional tools with 99%+ average precision and recall.

AI-native observability platform for LLMs & agents

Available as a Python command line, a Python API, and an experimental TFJS version; Trained on a dataset of over 25M files across more than 100 content types; Achieves 99%+ average precision and recall, outperforming existing approaches; After the model is loaded (this is a one-off overhead), the inference time is about 5ms per file
saas
Statistics
GitHub Stars
8.9K
GitHub Stars
-
GitHub Forks
454
GitHub Forks
-
Stacks
0
Stacks
0
Followers
2
Followers
1
Votes
0
Votes
1
Integrations
Poetry
Poetry
JavaScript
JavaScript
Python
Python
No integrations available

What are some alternatives to Magika, Fallom?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

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