Cli Anything Cloudcompare

作者 hkuds34f519533bc1无许可证51K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库2周前更新

Command-line interface for CloudCompare — Agent-friendly harness for CloudCompare, the open-source 3D point cloud and mesh processing software. Supports 41 commands across 9 groups: project management, session control, point cloud operations (subsample, filter, segment, analyze), mesh operations, distance computation (C2C, C2M), transformations (ICP, matrix), export (LAS/LAZ/PLY/PCD/OBJ/STL/E57), and interactive REPL.

仅含说明Data & Analytics
AI 生成的概览

用于驱动 CloudCompare 完成三维点云与网格处理的命令行工具。

功能
该技能介绍了一个封装 CloudCompare（开源三维点云与网格处理软件）的命令行接口。它提供 9 组共 41 条命令，涵盖项目与会话管理、点云操作（如重采样、裁剪、滤波、分割和标量场分析）、网格操作、点云对点云与点云对网格的距离计算、包括 ICP 配准在内的变换，以及导出为 LAS、LAZ、PLY、PCD、OBJ、STL、E57 等格式。命令基于项目 JSON 文件运行，可输出 JSON 供智能体使用，输出结果也能注册回项目中。
适用场景
当智能体需要通过命令行处理三维点云或网格时使用，例如重采样、裁剪、去噪、分割或地面点分类、计算距离或曲率、配准扫描数据，以及在点云与网格格式之间转换和导出。适用于原本需要 CloudCompare 图形界面完成的测绘、扫描和三维数据工作流。
运行要求
需要 Python 3.10+ 以及本地安装的 CloudCompare（已在 Linux 上通过 Flatpak 使用 CloudCompare 2.13.2 测试；macOS 和 Windows 版本需从项目网站下载）。该技能仅包含说明，不附带脚本；所述命令行工具需另行通过 pip 安装。

cli-anything-cloudcompare

Agent-friendly command-line harness for CloudCompare — the open-source 3D point cloud and mesh processing software.

41 commands across 9 groups.

Installation

bash
pip install cli-anything-cloudcompare

Prerequisites:

  • Python 3.10+
  • CloudCompare installed on your system
    • Linux (Flatpak): flatpak install flathub org.cloudcompare.CloudCompare
    • macOS/Windows: download from https://cloudcompare.org

Tested with: CloudCompare 2.13.2 (Flatpak, Linux)

Global Options

These options must be placed before the subcommand:

bash
cli-anything-cloudcompare [--project FILE] [--json] COMMAND [ARGS]...
OptionDescription
-p, --project TEXTPath to project JSON file
--jsonOutput results as JSON (for agent consumption)

Command Groups

1. project — Project Management (3 commands)

project new

Create a new empty project file.

bash
# Create a project with default namecli-anything-cloudcompare project new -o myproject.json
# Create a project with a custom namecli-anything-cloudcompare project new -o myproject.json -n "Bridge Survey 2024"
# JSON output for agentscli-anything-cloudcompare --json project new -o myproject.json

Options: -o/--output TEXT (required), -n/--name TEXT

project info

Show project info and loaded entities.

bash
cli-anything-cloudcompare --project myproject.json project info
# JSON outputcli-anything-cloudcompare --project myproject.json --json project info
project status

Show quick project status (cloud count, mesh count, last operation).

bash
cli-anything-cloudcompare --project myproject.json project status

2. session — Session Management (4 commands)

session save

Save the current project state to disk.

bash
cli-anything-cloudcompare --project myproject.json session save
session history

Show recent operation history.

bash
# Show last 10 operations (default)cli-anything-cloudcompare --project myproject.json session history
# Show last 5 operationscli-anything-cloudcompare --project myproject.json session history -n 5

Options: -n/--last INTEGER

session set-format

Update the default export format for future operations.

bash
# Set default cloud export to LAScli-anything-cloudcompare --project myproject.json session set-format --cloud-fmt LAS --cloud-ext las
# Set default mesh export to OBJcli-anything-cloudcompare --project myproject.json session set-format --mesh-fmt OBJ --mesh-ext obj
# Set both cloud and mesh defaultscli-anything-cloudcompare --project myproject.json session set-format \  --cloud-fmt PLY --cloud-ext ply \  --mesh-fmt STL --mesh-ext stl

Options: --cloud-fmt TEXT, --cloud-ext TEXT, --mesh-fmt TEXT, --mesh-ext TEXT

session undo

Remove the last operation from history (soft undo — does not delete output files).

bash
cli-anything-cloudcompare --project myproject.json session undo

3. cloud — Point Cloud Operations (21 commands)

All cloud commands take CLOUD_INDEX (0-based integer from cloud list) and most accept --add-to-project to register the output back into the project.

cloud add

Add a point cloud file to the project.

bash
# Add a LAS filecli-anything-cloudcompare --project myproject.json cloud add /data/scan.las
# Add with a labelcli-anything-cloudcompare --project myproject.json cloud add /data/scan.las -l "roof scan"

Options: -l/--label TEXT

cloud list

List all clouds currently in the project.

bash
cli-anything-cloudcompare --project myproject.json cloud list
# JSON output for parsing indicescli-anything-cloudcompare --project myproject.json --json cloud list
cloud convert

Convert a cloud from one format to another (format determined by file extension).

bash
# LAS → PLYcli-anything-cloudcompare cloud convert /data/scan.las /data/scan.ply
# PCD → LAScli-anything-cloudcompare cloud convert /data/cloud.pcd /data/cloud.las
cloud subsample

Reduce the number of points using RANDOM, SPATIAL, or OCTREE method.

bash
# Random: keep 100 000 pointscli-anything-cloudcompare --project myproject.json cloud subsample 0 \  -o /data/sub_random.las -m random -n 100000
# Spatial: minimum distance 0.05 m between pointscli-anything-cloudcompare --project myproject.json cloud subsample 0 \  -o /data/sub_spatial.las -m spatial -n 0.05
# Octree: level 8cli-anything-cloudcompare --project myproject.json cloud subsample 0 \  -o /data/sub_octree.las -m octree -n 8 --add-to-project

Options: -o/--output TEXT (required), -m/--method [random|spatial|octree], -n/--param FLOAT, --add-to-project

cloud crop

Crop a cloud to an axis-aligned bounding box.

bash
# Keep points inside the boxcli-anything-cloudcompare --project myproject.json cloud crop 0 \  -o /data/cropped.las \  --xmin 0.0 --ymin 0.0 --zmin 0.0 \  --xmax 10.0 --ymax 10.0 --zmax 5.0
# Keep points OUTSIDE the boxcli-anything-cloudcompare --project myproject.json cloud crop 0 \  -o /data/exterior.las \  --xmin 0.0 --ymin 0.0 --zmin 0.0 \  --xmax 10.0 --ymax 10.0 --zmax 5.0 --outside

Options: -o/--output TEXT (required), --xmin/ymin/zmin/xmax/ymax/zmax FLOAT (all required), --outside, --add-to-project

cloud normals

Compute surface normals via the octree method.

bash
# Compute normals at octree level 6cli-anything-cloudcompare --project myproject.json cloud normals 0 \  -o /data/with_normals.ply --level 6
# Compute normals oriented toward +Zcli-anything-cloudcompare --project myproject.json cloud normals 0 \  -o /data/with_normals.ply --level 6 --orientation plus_z --add-to-project

Options: -o/--output TEXT (required), --level INTEGER (1–10), --orientation [plus_x|plus_y|plus_z|minus_x|minus_y|minus_z], --add-to-project

cloud invert-normals

Flip all normal vectors in the cloud.

bash
cli-anything-cloudcompare --project myproject.json cloud invert-normals 0 \  -o /data/flipped_normals.ply --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud filter-sor

Statistical Outlier Removal — removes isolated noise points.

bash
# Default parameters (k=6 neighbours, 1.0 std ratio)cli-anything-cloudcompare --project myproject.json cloud filter-sor 0 \  -o /data/denoised.las
# Custom parameterscli-anything-cloudcompare --project myproject.json cloud filter-sor 0 \  -o /data/denoised.las --nb-points 12 --std-ratio 2.0 --add-to-project

Options: -o/--output TEXT (required), --nb-points INTEGER, --std-ratio FLOAT, --add-to-project

cloud noise-filter

Remove noisy points using the PCL noise filter (KNN or radius mode).

bash
# KNN mode (default)cli-anything-cloudcompare --project myproject.json cloud noise-filter 0 \  -o /data/clean.las --knn 8 --noisiness 1.0
# Radius modecli-anything-cloudcompare --project myproject.json cloud noise-filter 0 \  -o /data/clean.las --radius 0.1 --use-radius --add-to-project

Options: -o/--output TEXT (required), --knn INTEGER, --noisiness FLOAT, --radius FLOAT, --use-radius, --absolute, --add-to-project

cloud filter-csf

Ground filtering using the Cloth Simulation Filter (CSF) algorithm. Separates ground from off-ground points (buildings, vegetation).

bash
# Extract ground only — mixed terraincli-anything-cloudcompare --project myproject.json cloud filter-csf 0 \  --ground /data/ground.las --scene relief
# Split ground + off-ground — urban scenecli-anything-cloudcompare --project myproject.json cloud filter-csf 0 \  --ground /data/ground.las \  --offground /data/buildings.las \  --scene flat --cloth-resolution 0.5 --class-threshold 0.3
# Steep forested slope with slope post-processingcli-anything-cloudcompare --project myproject.json cloud filter-csf 0 \  --ground /data/terrain.las --scene slope --proc-slope --add-to-project

Options: -g/--ground TEXT (required), -u/--offground TEXT, --scene [slope|relief|flat], --cloth-resolution FLOAT, --class-threshold FLOAT, --max-iteration INTEGER, --proc-slope, --add-to-project

cloud filter-sf

Filter a cloud by scalar field value range (keep points where SF ∈ [min, max]).

bash
# Keep points with SF value between 10 and 50cli-anything-cloudcompare --project myproject.json cloud filter-sf 0 \  -o /data/filtered.las --min 10.0 --max 50.0
# Filter using a specific SF indexcli-anything-cloudcompare --project myproject.json cloud filter-sf 0 \  -o /data/filtered.las --min 0.0 --max 1.5 --sf-index 2 --add-to-project

Options: -o/--output TEXT (required), --min FLOAT (required), --max FLOAT (required), --sf-index INTEGER, --add-to-project

cloud sf-from-coord

Convert a coordinate axis (X/Y/Z) to a scalar field. Commonly used to create a height (Z) scalar field.

bash
# Create Z scalar field (height)cli-anything-cloudcompare --project myproject.json cloud sf-from-coord 0 \  -o /data/with_z_sf.las --dim z --add-to-project
# Create X scalar field with a specific active indexcli-anything-cloudcompare --project myproject.json cloud sf-from-coord 0 \  -o /data/with_x_sf.las --dim x --sf-index 0

Options: -o/--output TEXT (required), --dim [x|y|z] (default: z), --sf-index INTEGER, --add-to-project

cloud sf-filter-z

Convenience command: convert Z → scalar field and filter by height range in one step.

bash
# Extract points between z=1.0 m and z=2.5 mcli-anything-cloudcompare --project myproject.json cloud sf-filter-z 0 \  -o /data/slice.las --min 1.0 --max 2.5 --add-to-project
# Only apply upper boundcli-anything-cloudcompare --project myproject.json cloud sf-filter-z 0 \  -o /data/below_5m.las --max 5.0

Options: -o/--output TEXT (required), --min FLOAT, --max FLOAT, --add-to-project

cloud sf-to-rgb

Convert the active scalar field to RGB colours.

bash
cli-anything-cloudcompare --project myproject.json cloud sf-to-rgb 0 \  -o /data/coloured.ply --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud rgb-to-sf

Convert RGB colours to a scalar field (luminance value).

bash
cli-anything-cloudcompare --project myproject.json cloud rgb-to-sf 0 \  -o /data/luminance.las --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud curvature

Compute curvature scalar field (MEAN or GAUSS).

bash
# Mean curvature with radius 0.5 mcli-anything-cloudcompare --project myproject.json cloud curvature 0 \  -o /data/curvature.las --type mean --radius 0.5
# Gaussian curvaturecli-anything-cloudcompare --project myproject.json cloud curvature 0 \  -o /data/curvature.las --type gauss --radius 0.5 --add-to-project

Options: -o/--output TEXT (required), --type [mean|gauss], -r/--radius FLOAT, --add-to-project

cloud roughness

Compute roughness scalar field (deviation from local best-fit plane).

bash
cli-anything-cloudcompare --project myproject.json cloud roughness 0 \  -o /data/roughness.las --radius 0.2 --add-to-project

Options: -o/--output TEXT (required), -r/--radius FLOAT, --add-to-project

cloud density

Compute point density scalar field.

bash
# KNN densitycli-anything-cloudcompare --project myproject.json cloud density 0 \  -o /data/density.las --type knn --radius 0.5
# Surface densitycli-anything-cloudcompare --project myproject.json cloud density 0 \  -o /data/density.las --type surface --radius 1.0 --add-to-project

Options: -o/--output TEXT (required), -r/--radius FLOAT, --type [knn|surface|volume], --add-to-project

cloud segment-cc

Segment cloud into connected components (clusters). Each component is saved as a separate file.

bash
# Segment with octree level 8, minimum 100 points per componentcli-anything-cloudcompare --project myproject.json cloud segment-cc 0 \  -o /data/components/ --octree-level 8 --min-points 100
# Save components as PLY filescli-anything-cloudcompare --project myproject.json cloud segment-cc 0 \  -o /data/components/ --octree-level 6 --min-points 50 --fmt ply

Options: -o/--output-dir TEXT (required), --octree-level INTEGER, --min-points INTEGER, --fmt TEXT

cloud merge

Merge all clouds in the project into a single cloud.

bash
cli-anything-cloudcompare --project myproject.json cloud merge \  -o /data/merged.las --add-to-project

Options: -o/--output TEXT (required), --add-to-project

cloud mesh-delaunay

Build a 2.5-D Delaunay triangulation mesh from a cloud.

bash
# Basic Delaunay meshcli-anything-cloudcompare --project myproject.json cloud mesh-delaunay 0 \  -o /data/surface.obj
# Best-fit plane with max edge length limitcli-anything-cloudcompare --project myproject.json cloud mesh-delaunay 0 \  -o /data/surface.ply --best-fit --max-edge-length 2.0 --add-to-project

Options: -o/--output TEXT (required), --best-fit, --max-edge-length FLOAT, --add-to-project

4. mesh — Mesh Operations (3 commands)

mesh add

Add a mesh file to the project.

bash
cli-anything-cloudcompare --project myproject.json mesh add /data/model.obj
# Add with labelcli-anything-cloudcompare --project myproject.json mesh add /data/model.ply -l "building model"

Options: -l/--label TEXT

mesh list

List all meshes in the project.

bash
cli-anything-cloudcompare --project myproject.json mesh list
# JSON outputcli-anything-cloudcompare --project myproject.json --json mesh list
mesh sample

Sample a point cloud from a mesh surface.

bash
# Sample 50 000 points from mesh at index 0cli-anything-cloudcompare --project myproject.json mesh sample 0 \  -o /data/sampled.las -n 50000
# Add sampled cloud back to projectcli-anything-cloudcompare --project myproject.json mesh sample 0 \  -o /data/sampled.las -n 100000 --add-to-project

Options: -o/--output TEXT (required), -n/--count INTEGER, --add-to-project

5. distance — Distance Computation (2 commands)

distance c2c

Compute cloud-to-cloud distances. Adds a distance scalar field to the compared cloud.

bash
# Compare cloud 1 to reference cloud 0cli-anything-cloudcompare --project myproject.json distance c2c \  --compare 1 --reference 0 -o /data/distances.las
# Split into X/Y/Z components at octree level 8cli-anything-cloudcompare --project myproject.json distance c2c \  --compare 1 --reference 0 -o /data/distances.las \  --split-xyz --octree-level 8 --add-to-project

Options: --compare TEXT (required), --reference TEXT (required), -o/--output TEXT (required), --split-xyz, --octree-level INTEGER, --add-to-project

distance c2m

Compute cloud-to-mesh distances. Adds a distance scalar field to the cloud.

bash
# Basic cloud-to-mesh distancecli-anything-cloudcompare --project myproject.json distance c2m \  --cloud 0 --mesh 0 -o /data/c2m_dist.las
# With flipped normals and unsigned distancescli-anything-cloudcompare --project myproject.json distance c2m \  --cloud 0 --mesh 0 -o /data/c2m_dist.las \  --flip-normals --unsigned --add-to-project

Options: --cloud INTEGER (required), --mesh INTEGER (required), -o/--output TEXT (required), --flip-normals, --unsigned, --add-to-project

6. transform — Transformations and Registration (2 commands)

transform apply

Apply a 4×4 rigid-body transformation matrix to a cloud.

bash
# Apply a transformation matrix from filecli-anything-cloudcompare --project myproject.json transform apply 0 \  -o /data/transformed.las -m /data/matrix.txt
# Apply the inverse transformationcli-anything-cloudcompare --project myproject.json transform apply 0 \  -o /data/transformed.las -m /data/matrix.txt --inverse --add-to-project

The matrix file must contain 4 rows of 4 space-separated values:

1 0 0 00 1 0 00 0 1 00 0 0 1

Options: -o/--output TEXT (required), -m/--matrix TEXT (required), --inverse, --add-to-project

transform icp

Run ICP (Iterative Closest Point) registration to align one cloud to another.

bash
# Basic ICP alignmentcli-anything-cloudcompare --project myproject.json transform icp \  --aligned 1 --reference 0 -o /data/aligned.las
# ICP with overlap and iteration controlcli-anything-cloudcompare --project myproject.json transform icp \  --aligned 1 --reference 0 -o /data/aligned.las \  --max-iter 50 --overlap 80 --min-error-diff 1e-6 --add-to-project

Options: --aligned INTEGER (required), --reference INTEGER (required), -o/--output TEXT (required), --max-iter INTEGER, --min-error-diff FLOAT, --overlap FLOAT, --add-to-project

7. export — Export Clouds and Meshes (4 commands)

export formats

List all available export format presets.

bash
cli-anything-cloudcompare export formats
# JSON outputcli-anything-cloudcompare --json export formats
export cloud

Export a cloud to a target format.

bash
# Export cloud at index 0 as LAScli-anything-cloudcompare --project myproject.json export cloud 0 /data/output.las
# Export as PLY using presetcli-anything-cloudcompare --project myproject.json export cloud 0 /data/output.ply -f ply
# Overwrite if file existscli-anything-cloudcompare --project myproject.json export cloud 0 /data/output.las -f las --overwrite

Supported presets: las, laz, ply, pcd, xyz, asc, csv, bin, e57

Options: -f/--preset TEXT, --overwrite

export mesh

Export a mesh to a target format.

bash
# Export mesh at index 0 as OBJcli-anything-cloudcompare --project myproject.json export mesh 0 /data/model.obj
# Export as STLcli-anything-cloudcompare --project myproject.json export mesh 0 /data/model.stl -f stl --overwrite

Supported presets: obj, stl, ply, bin

Options: -f/--preset TEXT, --overwrite

export batch

Batch export all project clouds to a directory.

bash
# Export all clouds as LAScli-anything-cloudcompare --project myproject.json export batch \  -d /data/exports/ -f las
# Overwrite existing filescli-anything-cloudcompare --project myproject.json export batch \  -d /data/exports/ -f ply --overwrite

Options: -d/--output-dir TEXT (required), -f/--preset TEXT, --overwrite

8. info — Installation Info (1 command)

Show CloudCompare installation path and version.

bash
cli-anything-cloudcompare info
# JSON outputcli-anything-cloudcompare --json info

9. repl — Interactive REPL (1 command)

Start the interactive REPL session with history and undo support.

bash
# Start REPL without a projectcli-anything-cloudcompare repl
# Start REPL with an existing projectcli-anything-cloudcompare repl -p myproject.json
# Equivalent: run without subcommandcli-anything-cloudcompare --project myproject.json

Options: -p/--project TEXT

Inside the REPL, type help to list available commands or session undo to revert the last operation.

Supported File Formats

FormatExtensionReadWriteNotes
LAS.las✓✓LiDAR standard, supports intensity/RGB
LAZ.laz✓✓Compressed LAS
PLY.ply✓✓ASCII or binary
PCD.pcd✓✓PCL format
XYZ.xyz✓✓Plain text XYZ
ASC.asc✓✓ASCII with header
CSV.csv✓✓Comma-separated
E57.e57✓✓ASTM scanner exchange
BIN.bin✓✓CloudCompare native binary
OBJ.obj✓✓Mesh (Wavefront)
STL.stl✓✓Mesh (3D printing)

Typical Workflows

Workflow 1: LiDAR Pre-processing Pipeline

bash
P=myproject.json
# 1. Create project and load scancli-anything-cloudcompare project new -o $Pcli-anything-cloudcompare --project $P cloud add /data/scan.lascli-anything-cloudcompare --project $P cloud list  # note index → 0
# 2. Denoisecli-anything-cloudcompare --project $P cloud filter-sor 0 \  -o /data/denoised.las --nb-points 6 --std-ratio 1.0 --add-to-project
# 3. Subsample to 5 cm gridcli-anything-cloudcompare --project $P cloud subsample 1 \  -o /data/subsampled.las -m spatial -n 0.05 --add-to-project
# 4. Extract ground plane (CSF)cli-anything-cloudcompare --project $P cloud filter-csf 2 \  --ground /data/ground.las --offground /data/objects.las \  --scene relief --add-to-project
# 5. Export resultcli-anything-cloudcompare --project $P export cloud 3 /data/ground_final.las -f las --overwrite

Workflow 2: Change Detection Between Two Scans

bash
P=compare.jsoncli-anything-cloudcompare project new -o $Pcli-anything-cloudcompare --project $P cloud add /data/scan_2023.las   # index 0cli-anything-cloudcompare --project $P cloud add /data/scan_2024.las   # index 1
# ICP alignment (align 2024 to 2023)cli-anything-cloudcompare --project $P transform icp \  --aligned 1 --reference 0 -o /data/aligned_2024.las \  --overlap 90 --add-to-project   # index 2
# Cloud-to-cloud distancecli-anything-cloudcompare --project $P distance c2c \  --compare 2 --reference 0 -o /data/change_map.las --add-to-project
# Export as LAS with distance scalar fieldcli-anything-cloudcompare --project $P export cloud 3 /data/change_map_final.las --overwrite

Workflow 3: Height Slice Extraction

bash
P=slice.jsoncli-anything-cloudcompare project new -o $Pcli-anything-cloudcompare --project $P cloud add /data/building.las
# Extract points at 2–3 m height (floor level)cli-anything-cloudcompare --project $P cloud sf-filter-z 0 \  -o /data/floor_slice.las --min 2.0 --max 3.0 --add-to-project
# Exportcli-anything-cloudcompare --project $P export cloud 1 /data/floor_slice_out.las --overwrite

Workflow 4: Surface Reconstruction

bash
P=mesh.jsoncli-anything-cloudcompare project new -o $Pcli-anything-cloudcompare --project $P cloud add /data/terrain.las
# Compute normalscli-anything-cloudcompare --project $P cloud normals 0 \  -o /data/with_normals.ply --level 6 --orientation plus_z --add-to-project
# Delaunay meshcli-anything-cloudcompare --project $P cloud mesh-delaunay 1 \  -o /data/terrain_mesh.obj --max-edge-length 1.0 --add-to-project
# Export meshcli-anything-cloudcompare --project $P export mesh 0 /data/terrain_mesh_final.obj --overwrite

Error Handling

Exit CodeMeaning
0Success
1General error (see stderr for details)
2Invalid arguments

Common errors:

bash
# CloudCompare not found# → Install CloudCompare; check `cli-anything-cloudcompare info`
# Index out of range# → Run `cloud list` or `mesh list` to confirm valid indices
# File already exists (no --overwrite)# → Add --overwrite flag to export commands
# fcntl not available (Windows)# → File locking is skipped automatically; project save still works

For AI Agents

  1. Always use --json flag for parseable output
  2. Check return codes — 0 for success, non-zero for errors
  3. Parse stderr for error messages on failure
  4. Use absolute paths for all file arguments
  5. Verify output files exist after export operations
  6. Chain with --add-to-project to build multi-step pipelines without re-loading files
  7. Use cloud list --json to discover valid cloud indices before each operation
  8. Use export formats --json to discover available format presets

Version

ComponentVersion
cli-anything-cloudcompare1.0.0
CloudCompare (tested)2.13.2
Python (minimum)3.10

来源与署名

来源：hkuds/cli-anything位于skills/cli-anything-cloudcompare提交34f5195

许可证： 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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为私募股权标的分析单位经济：ARR 队列、LTV/CAC、净留存、回收期与利润瀑布。

Data & Analytics39K2周前更新

Option Vol Analysis

anthropics

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通过结合波动率曲面、含希腊字母的期权定价与历史价格，比较隐含波动率与已实现波动率。

Data & Analytics39K2周前更新

Macro Rates Monitor

anthropics

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利用 MCP 的 GDP、通胀、收益率曲线、盈亏平衡通胀和互换数据，构建宏观与利率仪表板。

Data & Analytics39K2周前更新

Clean Data Xls

anthropics

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清理杂乱表格数据：去除空白、统一大小写、转换文本数字、规范日期并删除重复项。

Data & Analytics39K2周前更新

Fixed Income Portfolio

anthropics

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通过债券定价、汇总风险指标、预测现金流并运行利率情景，审查固定收益投资组合。

Data & Analytics39K2周前更新