Chalk Sandbox SDK

Python SDK for the Chalk Sandbox gRPC service. Create sandboxes, execute commands, and stream output over bidirectional gRPC streams.

Contributor note: for testing deployed functions against local chalkcompute or local chalk-remote-call-python changes, see local-sdk-remote-call-testing.md.

Install

pip install grpcio protobuf

Quick start

from chalkcompute import SandboxClient

with SandboxClient.from_env() as client:
    # Create a sandbox from a pre-built image
    sandbox = client.create(image="ubuntu:latest")

    # Run a command
    result = sandbox.exec("echo", "hello world")
    print(result.stdout_text)  # "hello world"
    print(result.exit_code)    # 0

    # Clean up
    sandbox.terminate()

Declarative images

Build custom container images with a fluent API instead of writing Dockerfiles. The image spec is serialized as protobuf and transmitted to the sandbox service, which builds and caches the image before starting the container.

from chalkcompute import Image, SandboxClient

# Build a data-science image declaratively
img = (
    Image.debian_slim()
    .pip_install(["pandas", "numpy", "scikit-learn"])
    .run_commands(
        "apt-get update && apt-get install -y git curl",
    )
    .workdir("/home/user/app")
    .env({"PYTHONDONTWRITEBYTECODE": "1"})
)

with SandboxClient.from_env() as client:
    sandbox = client.create(image=img)
    result = sandbox.exec("python", "-c", "import pandas; print(pandas.__version__)")
    print(result.stdout_text)
    sandbox.terminate()

Base images

# Arbitrary base image
img = Image.base("node:25-trixie-slim")

# Convenience: python + debian slim
img = Image.debian_slim()  # python:3.14-slim-trixie

# From an existing Dockerfile (contents are inlined, so you can chain more steps)
img = Image.from_dockerfile("Dockerfile").pip_install(["extra-dep"])

Build steps

img = (
    Image.debian_slim()
    # Install Python packages
    .pip_install(["requests", "flask"])

    # Install from a requirements.txt (read locally, inlined into the spec)
    .pip_install_from_requirements("requirements.txt")

    # Run shell commands (each becomes a Docker RUN layer)
    .run_commands(
        "apt-get update && apt-get install -y git",
        "mkdir -p /app/data",
    )

    # Add local files into the image
    .add_local_file("config.yaml", "/app/config.yaml")
    .add_local_file("entrypoint.sh", "/app/entrypoint.sh", mode=0o755)
    .add_local_dir("src", "/app/src")

    # Raw Dockerfile instructions
    .dockerfile_commands(["EXPOSE 8080", "HEALTHCHECK CMD curl -f http://localhost:8080/"])

    # Image-level configuration
    .workdir("/app")
    .env({"FLASK_APP": "app:create_app"})
    .entrypoint(["/app/entrypoint.sh"])
    .cmd(["serve"])
)

Immutable composition

Each builder method returns a new Image, so intermediate images can be shared:

base = Image.debian_slim().pip_install(["requests"])

# Two different images that share the same base
api_image = base.pip_install(["flask"]).workdir("/api")
worker_image = base.pip_install(["celery"]).workdir("/worker")

api_sandbox = client.create(image=api_image)
worker_sandbox = client.create(image=worker_image)

api_sandbox.terminate()
worker_sandbox.terminate()

Connecting

from chalkcompute import SandboxClient

# Insecure (local dev)
client = SandboxClient("localhost:50051")

# With TLS
client = SandboxClient("sandbox.example.com:443", use_tls=True)

# As a context manager
with SandboxClient("localhost:50051") as client:
    ...

Rotating workload identity

The SDK can use a directly usable Chalk JWT from a rotating token file instead of a client ID and secret:

export CHALK_WEB_IDENTITY_TOKEN_FILE=/var/run/secrets/chalk/identity-token
export CHALK_API_SERVER=https://api.chalk.ai

Each SDK client caches the token for the shorter of one hour or half of the token's remaining lifetime from its exp claim, then re-reads the file on its next authenticated operation. Tokens without exp use the one-hour limit. Changing the configured file path bypasses the cache. The JWT's environment_id claim selects the environment unless CHALK_ENVIRONMENT or CHALK_ENVIRONMENT_ID is set explicitly. Queued function calls additionally require CHALK_GRPC_ENGINE, because identity JWTs do not contain engine-routing data.

Workload identity federation

Use the authenticated Connect client to mint a short-lived OIDC token for a third-party workload identity provider. For example, with Snowflake configured to trust Chalk's issuer and JWKS:

from chalkcompute import ConnectClient

token = ConnectClient().get_workload_identity_token("snowflakecomputing.com")

The token is scoped to the active Chalk environment. Its audience is the value passed to get_workload_identity_token, and its signing key is published by the Chalk API server at /.well-known/jwks.json.

Evaluations

Create a reusable evaluation by pinning a completed dataset revision to a deployed task function and one or more deployed scorer functions. A dataset name resolves to its latest revision when the evaluation is created, and the resolved revision is then pinned. Function parameters bind to dataset columns by name; scorers may additionally declare output and trace parameters.

import chalkcompute as cc

dataset = cc.DatasetClient().upload(
    "support_goldens",
    "support_goldens.csv",
)

suite = cc.EvaluationSuite.create("Release")

@cc.function(name="support-answer")
def answer(input: str) -> str:
    return call_support_model(input)

@cc.function(name="response-quality")
def response_quality(input: str, output: str) -> cc.EvaluationScorerResult:
    score, details = score_response(input=input, output=output)
    return cc.EvaluationScorerResult(
        score=score,
        metadata={"details": details},
    )

evaluation = cc.Evaluation.create(
    "Customer Support Chatbot",
    dataset=dataset,
    task=answer,
    scorers=[response_quality],
    suite_id=suite.id,
)

run = evaluation.run(metadata={"git_sha": "abc123"}).wait()
print(run.status, run.result_dataset)

DatasetClient.upload accepts CSV or Parquet paths, multiple same-schema files, PyArrow tables and record batches, column/row mappings, and dataframes convertible to Arrow. It uploads ordinary tabular data and does not require ChalkPy feature definitions. Uploading to an existing name creates a new dataset revision.

@cc.function starts deployment in the background, allowing consecutive definitions to build concurrently. Evaluation.create waits on those handles before reading their immutable function version IDs. Existing functions can instead be attached by reference:

evaluation = cc.Evaluation.create(
    "Customer Support Chatbot",
    dataset=dataset,
    task=cc.RemoteFunction.from_name("support-answer"),
    scorers=[cc.RemoteFunction.from_version_id("fn_brand_alignment_v2")],
)

RemoteFunction.from_name resolves the currently selected version at lookup time; evaluation creation then pins that version. from_id remains a compatibility alias for from_version_id. An imperative RemoteFunction must be explicitly deployed before it can be used in an evaluation.

Deployment revisions and rollback

Scaling groups and functions have stable parent IDs with immutable deployment revisions beneath them. Calling deploy() again on the same handle appends and selects a new revision while preserving the parent ID:

group = cc.ScalingGroup(name="api", image="registry.example/api:v1").deploy()
group.deploy()  # updates the same group and creates another revision
for revision in group.revisions():
    print(revision.id, revision.status, revision.is_current)
group.rollback("sgr_previous")

@cc.function(name="rank")
def rank(query: str) -> str:
    return query

rank.deploy()
for version in rank.versions():
    print(version.id, version.created_at, version.is_current)
rank.rollback("efv_previous")

Use ScalingGroup.from_id(...) or RemoteFunction.from_function_id(...) to attach to a stable parent. RemoteFunction.from_version_id(...) attaches through an immutable version and still exposes its parent lifecycle. refresh() follows the parent's currently selected revision, and delete() deletes the stable parent and all of its revisions.

Scorers may return a numeric scalar, one EvaluationScorerResult, or a list[EvaluationScorerResult]. Returning a list lets one scorer emit multiple scores from shared computation; an empty list emits no scores for that row. Each result carries a normalized score and optional row-level JSON-serializable metadata. The return annotation declares the Arrow schema, and the class-level Arrow hooks handle nested serialization, so the generic function runtime does not need scorer-specific behavior.

Sandbox lifecycle

# Create with resource limits
sandbox = client.create(
    image="ubuntu:latest",
    cpu="2",
    memory="4Gi",
    env={"DEBIAN_FRONTEND": "noninteractive"},
    chalk_identity=True,
)

# List all sandboxes
for info in client.list():
    print(f"{info.id} {info.status} {info.name}")

# Get a handle to an existing sandbox by ID
existing_sandbox = client.get(id="550e8400-e29b-41d4-a716-446655440000")

# Fetch info from server
info = existing_sandbox.refresh()  # force re-fetch
print(info.status)

# Terminate, optionally with a grace period
sandbox.terminate()
existing_sandbox.terminate(grace_period_seconds=30)

Set chalk_identity=True to give the sandbox a platform-managed Chalk identity. The sandbox receives CHALK_WEB_IDENTITY_TOKEN_FILE and the Chalk API/environment settings it needs to authenticate without caller credentials being copied into the workload.

Executing commands

Run and wait

result = sandbox.exec("ls", "-la", "/tmp")
for line in result.stdout:
    print(line)
for line in result.stderr:
    print(f"ERR: {line}")
print(f"exit code: {result.exit_code}")

# Or get the full text at once
print(result.stdout_text)
print(result.stderr_text)

Stream output in real time

for event in sandbox.exec_stream("make", "build", workdir="/app"):
    if event.stdout:
        print(event.stdout, end="")
    if event.stderr:
        print(event.stderr, end="", file=sys.stderr)
    if event.is_exited:
        print(f"\nDone: exit code {event.exit_code}")

Interactive processes (stdin + signals)

process = sandbox.exec_start("bash")

process.write_stdin("echo hello\n")
process.write_stdin("exit\n")
process.close_stdin()

for event in process.output():
    if event.stdout:
        print(event.stdout, end="")

Send signals to running processes:

import signal

process = sandbox.exec_start("sleep", "300")
process.send_signal(signal.SIGTERM)
result = process.wait()

Options

All exec methods accept the same keyword arguments:

result = sandbox.exec(
    "python", "train.py",
    workdir="/app",                     # working directory
    timeout_secs=3600,                  # kill after 1 hour
    env={"CUDA_VISIBLE_DEVICES": "0"},  # environment variables
)

Examples

Clone a GitHub repo into a sandbox

from chalkcompute import SandboxClient

client = SandboxClient.from_env()
sandbox = client.create(image="ubuntu:latest")

# Install git
sandbox.exec("apt-get", "update")
sandbox.exec("apt-get", "install", "-y", "git")

# Clone
result = sandbox.exec(
    "git", "clone", "https://github.com/chalk-ai/chalk.git", "/workspace/chalk"
)
if result.exit_code != 0:
    print(f"Clone failed: {result.stderr_text}")
else:
    # List what we got
    result = sandbox.exec("ls", "-la", "/workspace/chalk")
    for line in result.stdout:
        print(line)

sandbox.terminate()
client.close()

Spawn an OpenCode agent in a sandbox

OpenCode is a terminal-based AI coding agent. You can run it inside a sandbox to give it an isolated environment to work in.

from chalkcompute import SandboxClient

client = SandboxClient.from_env()
sandbox = client.create(
    image="ubuntu:latest",
    cpu="2",
    memory="4Gi",
    env={
        "ANTHROPIC_API_KEY": "sk-ant-...",
    },
)

# Install dependencies
sandbox.exec("apt-get", "update")
sandbox.exec("apt-get", "install", "-y", "git", "curl", "build-essential")

# Install Go (opencode is a Go binary)
sandbox.exec("bash", "-c", "curl -fsSL https://go.dev/dl/go1.26.3.linux-amd64.tar.gz | tar -C /usr/local -xz")
sandbox.exec("bash", "-c", "echo 'export PATH=$PATH:/usr/local/go/bin:/root/go/bin' >> /root/.bashrc")

# Install opencode
sandbox.exec("bash", "-c", "export PATH=$PATH:/usr/local/go/bin:/root/go/bin && go install github.com/opencode-ai/opencode@latest")

# Clone a repo to work on
sandbox.exec("git", "clone", "https://github.com/your-org/your-repo.git", "/workspace/repo")

# Run opencode non-interactively with a prompt
result = sandbox.exec(
    "bash", "-c",
    "export PATH=$PATH:/usr/local/go/bin:/root/go/bin && cd /workspace/repo && opencode -p 'fix the failing tests in pkg/auth'",
    timeout_secs=600,
)
print(result.stdout_text)

# Or run it interactively and feed it commands
process = sandbox.exec_start(
    "bash", "-c",
    "export PATH=$PATH:/usr/local/go/bin:/root/go/bin && cd /workspace/repo && opencode",
)

# Stream its output
for event in process.output():
    if event.stdout:
        print(event.stdout, end="")
    if event.stderr:
        print(event.stderr, end="", file=sys.stderr)
    if event.is_exited:
        break

sandbox.terminate()
client.close()

Long-running build with real-time output

from chalkcompute import SandboxClient

client = SandboxClient.from_env()
sandbox = client.create(image="node:25-trixie-slim")

sandbox.exec("git", "clone", "https://github.com/your-org/frontend.git", "/app")
sandbox.exec("npm", "install", workdir="/app")

# Stream the build output as it happens
for event in sandbox.exec_stream("npm", "run", "build", workdir="/app"):
    if event.stdout:
        print(event.stdout, end="")
    if event.stderr:
        print(event.stderr, end="", file=sys.stderr)
    if event.is_exited and event.exit_code != 0:
        print(f"Build failed with exit code {event.exit_code}")

sandbox.terminate()
client.close()

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.11.8)

Owner

PyPI data
Data sourced directly from PyPI's database.

Requires

Python <3.15, >=3.11

Provides Extra

dev

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

chalkcompute-2.11.3.tar.gz (444.1 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

chalkcompute-2.11.3-cp314-cp314-musllinux_1_2_x86_64.whl (5.6 MB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ x86-64

chalkcompute-2.11.3-cp314-cp314-manylinux_2_28_x86_64.whl (5.4 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ x86-64

chalkcompute-2.11.3-cp314-cp314-macosx_11_0_arm64.whl (4.9 MB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

chalkcompute-2.11.3-cp313-cp313-musllinux_1_2_x86_64.whl (5.6 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

chalkcompute-2.11.3-cp313-cp313-manylinux_2_28_x86_64.whl (5.4 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64

chalkcompute-2.11.3-cp313-cp313-macosx_11_0_arm64.whl (4.9 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

chalkcompute-2.11.3-cp312-cp312-musllinux_1_2_x86_64.whl (5.6 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

chalkcompute-2.11.3-cp312-cp312-manylinux_2_28_x86_64.whl (5.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

chalkcompute-2.11.3-cp312-cp312-macosx_11_0_arm64.whl (4.9 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

chalkcompute-2.11.3-cp311-cp311-musllinux_1_2_x86_64.whl (5.6 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

chalkcompute-2.11.3-cp311-cp311-manylinux_2_28_x86_64.whl (5.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

chalkcompute-2.11.3-cp311-cp311-macosx_11_0_arm64.whl (4.9 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

File details

Details for the file chalkcompute-2.11.3.tar.gz.

File metadata

  • Download URL: chalkcompute-2.11.3.tar.gz
  • Upload date:
  • Size: 444.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for chalkcompute-2.11.3.tar.gz
Algorithm Hash digest
SHA256 df4e79bc8e2615eeb35f39e9cad1a850f01c8a1face708daf30f1004633acd9c
MD5 40ae06b9ebd7c04722431b0bb9e5b3ff
BLAKE2b-256 e7dbda85f908749ce848197d8eb5070df38d6a63f53222a8b81c39d6aaa5c290

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3.tar.gz:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp314-cp314-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp314-cp314-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 6d70d35c11b013cb9532faa3245892ab72bc1266d2b809dffd1f0a6df8e3cca1
MD5 0e6fb08331f07d69e290467ac11f0dff
BLAKE2b-256 b850a59aecbc6ff105c9d22b024a703d9d93132c0145e59da0a71ce8badd67cc

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp314-cp314-musllinux_1_2_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp314-cp314-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp314-cp314-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 fc5441a74b1ddafaf03033d3f781987dc3ded6105dfafe45d9bbb0d9e19cc41d
MD5 b41b3b7a32810c447c725a6256f5756a
BLAKE2b-256 f07b559ecb88ea87adb01d600047e0def2b94c3a00711e0fdc1a1022ecf418b5

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp314-cp314-manylinux_2_28_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 314ef8dbb665dc9bfe6700f164cbe98b1803d741fe733a1e34ead594c47dfcd9
MD5 046affacf2e19a2fc4ab88c18b611571
BLAKE2b-256 94e4ea64e051328c204fda186d35245ed3558b92f2e100f599f1212fc5b3ec12

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp314-cp314-macosx_11_0_arm64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 abaac4a161a305bb47b76e83dcf9eaefe2d341fe65bc8a3028d7a278a82fb4e9
MD5 33a327866cc31babd7cd2aa7d8042518
BLAKE2b-256 c753a8732a6be91cebdc847eb5514c1af04cf7e01727aae4cb68f0e5c7cf9d90

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp313-cp313-musllinux_1_2_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 490c8c0314787ac889ce36ba9f0d03ce3d1f860a012d50f35634857b8a867c8b
MD5 5b488b09f500cb0efc40ee916400abcc
BLAKE2b-256 4dc30f0b40f0c00a7df211619b9375d7a34558686d96b1af61ebe120e011ea80

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp313-cp313-manylinux_2_28_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6de418d64fbcf2086befc35c1ccf6f137a61b3c1b6fdab98a9ab37951ebad64a
MD5 a8ee7bc3bbb3a2d2d6324a7aaad66526
BLAKE2b-256 c961935f9e9af51f7022576f212601f44a52d7dfd6bece6dd21904cd020fc724

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp313-cp313-macosx_11_0_arm64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 7145a1190a77c317ed965e42078d5b9ee2bce144c11ac452fcf32ced965fadb3
MD5 78758b30dddcd3317881c1bd3e743e4c
BLAKE2b-256 7bbc1ee9f60586a7ec24ff246fa81dc923f2d13f883be00e7bce50ab415aa2b9

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp312-cp312-musllinux_1_2_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b831a6a413e1e8b1598f6aff89ecd3cb4f18309b01a710f44ba051c3908a3aeb
MD5 cf1c7184dcf1c68a799c8818880fcdd1
BLAKE2b-256 f35781356f0effa285ab9d92487a7f70dcc2b97a289e928f5f2ae0dafcda3fe2

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp312-cp312-manylinux_2_28_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6127b1be77521b8a4edd22dbcfcb379e3144987aa05e6eb0f611baff8c2502e6
MD5 022d281a1fcc2a4151511ce836c5235b
BLAKE2b-256 b74e96c02fd47b8c78b6eab47959be233349730ab2c399174f63a13954309a9b

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp312-cp312-macosx_11_0_arm64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b7c52e32d609f86897742dadcdf6ba51f376d1b08d86d0b680a657295252f3f3
MD5 c307f90ee4454d76f11350c2ba9f6597
BLAKE2b-256 06509f1e670665e56bb6e71dba50659297282598cc507c7ef95870ce0ea4cc4b

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp311-cp311-musllinux_1_2_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 6fe0b547654e0300bcbb4fa346483223d221b8535f1e4480fa39f8cb0c46b0dd
MD5 76d4526eb7cead60c5a6134504545f8e
BLAKE2b-256 90a8ed8a2b52fc7c1fae95fe9a677f70c8c131eb901c914f9b8e77abd150b51d

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp311-cp311-manylinux_2_28_x86_64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file chalkcompute-2.11.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for chalkcompute-2.11.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 05e1e79c4bf3e07c3d6f59f64ad5128ef943206b6dd44d304315ce655d42c9a9
MD5 2a33ff27718e2b39efc687b319ee3e62
BLAKE2b-256 0d1ecc262609241936cd2c95a91e721f551530985c77f751ce9c3ff56ec60ab5

See more details on using hashes here.

Provenance

The following attestation bundles were made for chalkcompute-2.11.3-cp311-cp311-macosx_11_0_arm64.whl:

Publisher: release.yml on chalk-ai/chalk-sandbox-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

2.11.8

13 files

2.11.7

13 files

2.11.6

13 files

2.11.5

13 files

2.11.4

13 files

This release

2.11.3 This release

13 files

2.11.2

13 files

2.11.1

13 files

2.9.8

13 files

2.9.7

13 files

2.9.6

13 files

2.9.5

13 files

2.9.4

13 files

2.9.3

13 files

2.9.2

13 files

2.9.1

13 files

2.9.0

13 files

2.8.1

13 files

2.8.0

13 files

2.7.0

13 files

2.6.2

13 files

2.6.1

9 files

2.5.3

9 files

2.5.2

9 files

2.5.1

9 files

2.5.0

9 files

2.4.1

9 files

2.3.9

9 files

2.3.8

9 files

2.3.7

9 files

2.3.6

9 files

2.3.5

9 files

2.3.4

9 files

2.3.3

9 files

2.3.2

9 files

2.3.1

9 files

2.3.0

9 files

2.2.0

9 files

2.1.8

9 files

2.1.3

9 files

2.1.2

9 files

2.1.1

9 files

2.1.0

9 files

2.0.1

9 files

2.0.0

9 files

1.5.17

9 files

1.5.16

9 files

1.5.15

9 files

1.5.14

9 files

1.5.13

9 files

1.5.12

9 files

1.5.11

9 files

1.5.10

9 files

1.5.9

5 files

1.5.6

5 files

1.5.5

2 files

1.5.3

2 files

1.5.2

2 files

1.5.1

2 files

1.5.0

2 files

1.4.2

2 files

1.4.1

2 files

1.4.0

2 files

1.3.0

2 files

1.2.0

2 files

1.1.1

2 files

1.1.0

2 files

1.0.0

2 files

0.1.1

2 files

0.1.0

2 files

0.0.0

9 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page