HendrikStrobelt/LSTMVis

Health v2 · maintenance only

Adoption not part of the score

1266 stars · 260 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LSTMVis is a visual analysis toolbox for inspecting hidden state dynamics of LSTM (and other RNN) networks. It provides a browser-based interactive interface backed by a Python server that consumes HDF5 state files from trained models.

Use cases

• visualize hidden state changes in an LSTM while processing text
• understand what individual LSTM cells learn during training
• debug and interpret recurrent neural network behavior on sequences
• explore state activations for a children's book or parentheses dataset
• import my own trained model's states into an interactive viewer
• compare RNN hidden states across time steps for interpretability research

When to choose

• you need interactive, cell-level visual analysis of LSTM/RNN hidden states
• you are doing interpretability research on recurrent networks and can export states to HDF5
• you want a self-hosted web tool with a Python 3.7+ backend

When to avoid

• you need visualization for transformers or modern architectures rather than RNNs
• you want an actively developed tool with recent updates and community support
• you need a plug-and-play library integrated into your training pipeline rather than a separate server and dataset export step

Facets

application · maturity maintenance

data-visualization machine-learning nlp machine-learning data-visualization deep-learning python browser cross-platform lstm rnn hidden-state-analysis interpretability d3 hdf5 keras tensorflow research-tool natural-language-processing web-server

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markdown · JSON · MCP: product_card(name="HendrikStrobelt/LSTMVis")