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
- 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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