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Shap Alternatives
Similar projects and alternatives to shap
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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xbyak
A JIT assembler for x86/x64 architectures supporting MMX, SSE (1-4), AVX (1-2, 512), FPU, APX, and AVX10.2
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
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graphkit-learn
A python package for graph kernels, graph edit distances, and graph pre-image problem.
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lucid
Discontinued A collection of infrastructure and tools for research in neural network interpretability.
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tinyshap
Python package providing a minimal implementation of the SHAP algorithm using the Kernel method
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better shap alternative or higher similarity.
shap discussion
shap reviews and mentions
Posts with mentions or reviews of shap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-06-19.
- IA Explicable: Algoritmos y Métodos para Interpretar Modelos de Caja Negra
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Extracting Concepts from GPT-4
How does this compare to or improve on applying something like SHAP[0][1] on a model?
[0] https://github.com/shap/shap
- Shap v0.45.0
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[D] Convert a ML model into a rule based system
something like GitHub - shap/shap: A game theoretic approach to explain the output of any machine learning model.?
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[P] tinyshap: A minimal implementation of the SHAP algorithm
A less than 100 lines of code implementation of KernelSHAP because I had a hard time understanding shap's code.
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What’s after model adequacy?
We use tools like SHAP to explain what the model is doing to stakeholders.
- Feature importance with feature engineering?
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Model interpretation with many features
https://github.com/slundberg/shap this or https://github.com/marcotcr/lime would be relevant to you, especially if you want to look at explaining a single prediction.
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SHAP Value Interpretation
See this closed topic for more detail: https://github.com/slundberg/shap/issues/29
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Christoph Molnar on SHAP Library
Dr. Molnar recently had a semi-viral post on LinkedIn and on Twitter, where he essentially highlights the booming popularity [and power] of using SHAP for explainable AI (which I agree with), but that it also comes with problems; i.e., the open source implementation has thousands of pull requests, bugs, and issues and yet there is no permanent or significant funding to go in and fix them.
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A note from our sponsor - SaaSHub
www.saashub.com | 14 May 2025
Stats
Basic shap repo stats
40
23,847
9.0
5 days ago
shap/shap is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of shap is Jupyter Notebook.
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