Awesome List Updates on Apr 15, 2026

9 awesome lists updated today.

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1. Awesome Osint

Email Search / Email Check / GitHub

• Email Extractor - A browser-based utility to quickly extract email addresses from bulk text or raw data for further investigation.

Threat Intelligence / GitHub

• DFIR Platform - Threat intelligence platform with multi-source IOC enrichment, phishing email analysis, exposure scanning, and domain reputation scoring. Free tier available.

2. Awesome Raspberry Pi

Tools

• Armbian Imager - An open-source imaging tool that makes installing Armbian OS effortless.

• OSMC Installer - GUI based utility to download and install OSMC on to a variety of platforms.

• Raspberry Pi SD Card Lifespan Calculator - Interactive tool to estimate when your SD card will fail based on P/E cycles and Write Amplification Factor (WAF).

Projects

• PiSpot-Show (⭐1) - WiFi voucher display system with weather integration and PiJuice battery management.

• PiSpot Watch (⭐1) - Wrist-wearable Pi Zero smartwatch with e-ink display that generates Wi-Fi voucher codes on demand via button press.

• Ultimate DNS Shield (⭐0) - Self-hosted recursive DNS server using Pi-hole, Unbound and Docker on Raspberry Pi 4.

Useful Apps / Android

• EtchDroid - Is an open-source application that writes disk images to USB drives. Android

Tutorials / iOS

• Raspberry Pi 5 SSD Boot Guide - Comprehensive guide on upgrading RPi 5 with NVMe SSDs, including benchmarks and hardware compatibility tests (2026 update).

3. Awesome Computational Biology

Preprocessing Tools

• Numbat (⭐211) — Haplotype-aware copy number variation inference from single-cell RNA-seq using hidden Markov models.

• CaSpER (⭐87) — CNV identification and visualization by integrative analysis of single-cell or bulk RNA-seq data.

• CellCharter (⭐168) — Identification and characterization of spatial cell niches from spatial transcriptomics using VAEs and Gaussian mixture models.

• STAGATE (⭐51) — Adaptive graph attention auto-encoder for spatial domain identification in spatial transcriptomics.

• NCEM (⭐117) — GNN-based model for learning intercellular communication from spatial graphs of cells.

• DeepTalk (⭐29) — Graph attention network for deciphering cell-cell communication from spatial transcriptomics data.

• COMMOT (⭐136) — Optimal transport-based framework for screening cell-cell communication in spatial transcriptomics.

• TIGON (⭐57) — Neural optimal transport method for reconstructing growth and dynamic trajectories from single-cell transcriptomics.

• LINGER (⭐127) — Neural network for gene regulatory network inference from single-cell multiome (RNA+ATAC-seq) data with bulk data pretraining.

• sciPENN (⭐18) — RNN-based method for simultaneous protein expression prediction, uncertainty estimation, and cell-type label transfer from CITE-seq and scRNA-seq data.

• MOGONET (⭐179) — Multi-omics graph convolutional network framework for patient classification and biomarker identification.

Drug Response Prediction

• PRNet (⭐78) — Deep generative model for predicting transcriptional responses to novel chemical perturbations for drug discovery.

• DRUML (⭐11) — Ensemble machine learning framework combining standard ML with deep learning to systematically rank anti-cancer drugs from proteomics and RNA-seq data.

Drug Repurposing

• TranSiGen (⭐34) — Dual-VAE architecture for ligand-based virtual screening, drug response prediction, and drug repurposing using chemical-induced transcriptional profiles.

Molecular Generation

• DiffSBDD (⭐500) — Equivariant diffusion model for structure-based drug design that generates molecules and binding conformations for protein targets.

• ReLeaSE (⭐367) — Deep reinforcement learning framework for de novo drug design combining a generative and predictive model.

• PaccMannRL (⭐10) — Reinforcement learning-based generative model for de novo hit-like anticancer molecule design from transcriptomic data.

Single-cell Foundation Models / Transcriptomics Foundation Models

• SATURN (⭐164) — Transformer-based model integrating gene expression and protein sequences via a protein language model to learn unified multi-species cell embeddings.

• CancerFoundation (⭐29) — Single-cell RNA-seq foundation model trained exclusively on a curated dataset of malignant cells to learn cancer-specific embeddings.

Single-cell Foundation Models / Spatial Foundation Models

• Nicheformer (⭐159) — Foundation model for single-cell and spatial omics using a transformer architecture with positional embeddings to encode spatial cell information.

• scGPT-spatial (⭐133) — Extension of scGPT for spatial transcriptomics with continual pretraining and a mixture-of-experts decoder for spatial gene expression analysis.

Single-cell Foundation Models / Multi-Omics Foundation Models

• Concerto (⭐40) — Contrastive self-supervised learning framework for single-cell multimodal data integration, batch correction, and reference-query mapping.

• scButterfly (⭐28) — Dual-aligned variational autoencoder for single-cell cross-modality translation between paired and unpaired multiomics data.

• JAMIE (⭐16) — Joint variational autoencoder for multimodal single-cell data imputation and embedding.

• scPair (⭐10) — Bidirectional feedforward network for single-cell multimodal analysis with cross-modality prediction leveraging single-cell atlases.

Multi-Modal Foundation Models / Protein Structure Prediction and Design

• PORPOISE (⭐241) — Pan-cancer integrative histology-genomic analysis framework using multimodal deep learning for patient stratification.

• PathomicFusion (⭐330) — Integrated framework fusing histopathology and genomic features via CNN, GNN, and attention gating for cancer diagnosis and prognosis.

• Virchow — Million-slide digital pathology foundation model using a vision transformer and self-supervised distillation for tile-level pathology image representation.

• TOAD (⭐182) — Tumor Origin Assessment via Deep-learning; weakly-supervised multi-task model predicting cancer primary origin from H&E whole-slide images.

• PLIP (⭐375) — Vision-language foundation model for pathology trained with contrastive learning on pathology image–text pairs for image classification and text-to-image retrieval.

• MUSK (⭐226) — Vision-language foundation model for precision oncology analyzing multimodal paired text and pathology image data for biomarker prediction and retrieval.

4. Awesome Mqtt

Smart Home Integration Software / Firmwares for ESP based Devices

• shopsavvy-mqtt (⭐0) - MQTT bridge that publishes product price data with Home Assistant MQTT discovery support.

5. Awesome Neovim

Git / Quickfix

• dlyongemallo/diffview.nvim (⭐166) - Single tabpage interface for easily cycling through diffs for all modified files for any Git rev. Maintained fork of sindrets/diffview.nvim.

• kokusenz/deltaview.nvim (⭐85) - Inline/unified diff viewer with Tree-sitter syntax highlighting and diff highlighting in the style of delta (⭐31k), with enhanced navigational features.

6. Awesome Go

Artificial Intelligence

• agent-sdk-go (⭐7) - Go SDK for building durable AI agents on Temporal with support for tools, MCP, human approvals, and sub-agent delegation.

7. Free for Dev

Email

• EmailQo Email Infrastructure Grader - Free email infrastructure grader that checks SPF, DKIM, DMARC and mail server configuration. Scores any domain out of 100. No signup required.

8. Awesome Ada

Sound / GPL (no linking exception)

• AdaTracker (⭐1) - A MOD, XM, S3M, and IT music tracker player written in Ada, using SDL2 for audio output and UI rendering.

9. Awesome Mac

AI Tools / Other Tools

• Desktop Control (⭐26) - GPU-accelerated CLI for AI agents to control any macOS app via screen, mouse, and keyboard.

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