Shortlist by what you need
Start here if you know why you are leaving AudioFlux.
Want the closest match?
AlbumentationsXMost similar to AudioFlux in what it does, its category and its price.
Visit (opens AlbumentationsX in a new tab)Need a free plan?
ActiveloopHas a free plan, rated 4.1 out of 5.
Visit (opens Activeloop in a new tab)Want the lowest price?
LatitudeFrom $99/mo, the lowest starting price here.
Visit (opens Latitude in a new tab)Want the best rated?
Apache OpenNLPRated 4.0 out of 5 in our review, against 3.1 for AudioFlux.
Visit (opens Apache OpenNLP in a new tab)
At a glance
Green means better than AudioFlux, red means worse. Prices are starting prices per month.
| Tool | Our rating | Starts at | Free plan | Best for | Compare |
|---|---|---|---|---|---|
 AudioFluxBaseline | 3.1 | Free | Yes | An open-source audio and music analysis library - spectrograms, feature extraction, and Music Information Retrieval - built for deep learning, signal processing, and pattern recognition. MIT licensed. | |
| AlbumentationsX | 3.6+0.5 | Free | Yes | Cited in 2,270+ research papers and used in 40,000+ GitHub repos - the open-source image augmentation library behind winning solutions in 77 AI competitions, NumFOCUS-affiliated. | vs AudioFlux |
 Apache SINGA | 3.6+0.5 | Free | Yes | Open-source distributed deep learning library - automatic gradient calculation and multi-GPU training, in real-world use at NUS, Alibaba, and Citigroup. | vs AudioFlux |
| Activeloop | 4.1+1.0 | $40/mo | Yes | Database built for AI workloads that stores and streams multimodal training data, embeddings, images, video, and text, at scale. | vs AudioFlux |
 Caffe | 3.5+0.4 | Free | Yes | Berkeley's deep learning framework, still maintained in 2026 - built for expression, speed, and modularity, processing 60M+ images a day on GPU hardware. | vs AudioFlux |
 Evidently AI | 3.7+0.6 | Free | Yes | LLM-as-a-Judge evaluation with 100+ built-in metrics for hallucinations, toxicity, and PII - open-source, 7,500+ GitHub stars, used by DeepL, Wise, Plaid, and Databricks. | vs AudioFlux |
| Apache OpenNLP | 4.0+0.9 | Free | Yes | Open-source machine learning toolkit for processing natural language text, covering tokenization, part-of-speech tagging, named entity extraction, parsing and language detection, with pre-trained models for 36 languages. | vs AudioFlux |
| Latitude | 4.1+1.0 | $99/mo | Yes | Open-source observability platform that turns repeated AI agent failures into tracked, fixable issues. | vs AudioFlux |
 Datumbox | 3.0−0.1 | Free | Yes | Open-source Java machine learning framework and REST API for sentiment analysis, topic classification and text extraction. | vs AudioFlux |
The alternatives in detail
In order of how closely each one matches AudioFlux.
AlbumentationsX
3.6Free
vs AudioFlux+0.5
Cited in 2,270+ research papers and used in 40,000+ GitHub repos - the open-source image augmentation library behind winning solutions in 77 AI competitions, NumFOCUS-affiliated.
- Multi-target augmentation - images, masks, bounding boxes, keypoints, 3D data
- Reproducible public speed benchmarks
- Used across 40,000+ public GitHub repositories
Massive, verifiable real-world adoption and academic citation
Requires Python/ML engineering knowledge to use
Apache SINGA
3.6Free
vs AudioFlux+0.5
Open-source distributed deep learning library - automatic gradient calculation and multi-GPU training, in real-world use at NUS, Alibaba, and Citigroup.
- Distributed deep learning training across multiple GPUs
- Automatic gradient calculation and computational graph optimization
- Standard optimizer support (Adam, SGD, RMSProp, AdaGrad)
Genuine enterprise and academic deployment, not just an unused research project
A code library, not a hosted product - no dashboard or signup
Activeloop
4.1$40/mo
vs AudioFlux+1.0
Database built for AI workloads that stores and streams multimodal training data, embeddings, images, video, and text, at scale.
- Open-core database purpose-built for multimodal AI training data
- Built-in dataset versioning and visualization
- Streaming access to public and private datasets for model training
Open-source core (Deep Lake) lets teams self-host and inspect the code
Free tier's 3 queries/day and 100MB storage cap suit only small experiments
Caffe
3.5Free
vs AudioFlux+0.4
Berkeley's deep learning framework, still maintained in 2026 - built for expression, speed, and modularity, processing 60M+ images a day on GPU hardware.
- Deep learning framework for neural network design, training, and deployment
- Built for expression, speed, and modularity
- Handles image classification, fine-tuning, and feature extraction
Still actively maintained despite predating the current AI boom by a decade
A code library, not a hosted product - no dashboard or signup
Evidently AI
3.7Free
vs AudioFlux+0.6
LLM-as-a-Judge evaluation with 100+ built-in metrics for hallucinations, toxicity, and PII - open-source, 7,500+ GitHub stars, used by DeepL, Wise, Plaid, and Databricks.
- LLM-as-a-Judge evaluation methodology
- 100+ built-in metrics - hallucinations, toxicity, PII detection, retrieval quality
- Synthetic data generation for edge-case and adversarial testing
Fully open-source (Apache 2.0) - no vendor lock-in or opaque pricing
Open-source self-hosting requires real technical setup and maintenance
Apache OpenNLP
4.0Free
vs AudioFlux+0.9
Open-source machine learning toolkit for processing natural language text, covering tokenization, part-of-speech tagging, named entity extraction, parsing and language detection, with pre-trained models for 36 languages.
- Tokenization, sentence segmentation and lemmatization
- Part-of-speech tagging, chunking and parsing
- Named entity extraction and coreference resolution
Free and open source under Apache License 2.0
A developer library with no hosted service or interface
Latitude
4.1$99/mo
vs AudioFlux+1.0
Open-source observability platform that turns repeated AI agent failures into tracked, fixable issues.
- Agent-native tracing across sessions, tool calls, and reasoning steps
- Automatic grouping of repeated failures into tracked issues
- Auto-generated regression datasets from production traces
Genuinely free self-hosted option for teams that want full data control
Self-hosting requires engineering effort the managed plan is built to avoid
Datumbox
3.0Free
vs AudioFlux−0.1
Open-source Java machine learning framework and REST API for sentiment analysis, topic classification and text extraction.
- REST API for sentiment analysis and topic classification
- Language detection, subjectivity analysis and spam detection
- Keyword and text extraction, and reading assessment
Open-source framework under a permissive licence
The framework's last commit was in November 2023 and the homepage shows no recent activity
FAQ
Questions people ask
Is AudioFlux free?
AudioFlux has a free plan.
What is the best free alternative to AudioFlux?
Activeloop is the highest-rated alternative here with a free plan (4.1 out of 5). Other free options: Latitude, Apache OpenNLP, Evidently AI.
What is the cheapest alternative to AudioFlux?
Among paid plans, Activeloop has the lowest starting price (from $40/mo). If you need it free, start with Activeloop.
How did you pick these alternatives?
We match tools on what they do, their category and their price, using the details in our directory. Ratings come from our reviews and reader reviews.