open source · AGPL-3.0

cloud storage,
without the console.

// aws s3 · azure blob · gcp cloud storage // runs entirely on your machine // your credentials never leave localhost

$ pip install bucketlens

$ bucketlens

aws ✓ azure ✓ gcp ✓ python 3.8+ AGPL-3

jpg · png · mp4 · pdf · json · txt · csv · md · zip · ...

zero config. three commands.

01 / install

install

pip install bucketlens

02 / configure

configure

aws configure // or use existing ~/.aws/credentials

03 / run

run

bucketlens // → http://127.0.0.1:8080

get started in 30 seconds

// pick your cloud provider

# prerequisites python 3.8+ aws cli configured → aws configure

pip install bucketlens bucketlens # → open http://127.0.0.1:8080

# optional: profile + custom port AWS_PROFILE=prod bucketlens BucketLens_PORT=9090 bucketlens

# prerequisites python 3.8+ pip install azure-cli azure-storage-blob azure-identity

az login az account set --subscription {YOUR_SUBSCRIPTION_ID} # → replace {YOUR_SUBSCRIPTION_ID} with your actual ID

pip install bucketlens AZURE_STORAGE_ACCOUNT=myaccount bucketlens # → open http://127.0.0.1:8080

# or use a connection string AZURE_STORAGE_CONNECTION_STRING="DefaultEndpoints..." bucketlens

# prerequisites python 3.8+ pip install google-cloud-storage

gcloud auth application-default login gcloud config set project {YOUR_PROJECT_ID} # → replace {YOUR_PROJECT_ID} with your actual project

pip install bucketlens GOOGLE_CLOUD_PROJECT=my-project bucketlens # → open http://127.0.0.1:8080

# or use a service account key GOOGLE_APPLICATION_CREDENTIALS=/path/to/key.json bucketlens

azure and gcp support in active development · aws fully supported today