ayase 0.1.2

Modular media quality metrics toolkit

Ayase

Modular media quality metrics toolkit.

Overview

• 231 quality metrics across visual, temporal, audio, perceptual, and safety categories.
• Modular pipeline - modules compute raw values, downstream apps decide what to do with them.
• CLI and Python API.
• Profile-based pipeline configuration.

Installation

Core (no ML models, metadata/structural checks only):

pip install ayase

With ML-based quality metrics:

pip install ayase[ml]           # Everything
pip install ayase[v-perceptual] # CLIP, LPIPS, open-clip, timm
pip install ayase[v-iqa]        # PyIQA, BRISQUE, NIQE, scikit-video
pip install ayase[v-motion]     # RAFT optical flow, decord
pip install ayase[v-ocr]        # PaddleOCR text recognition
pip install ayase[v-face]       # MediaPipe face detection
pip install ayase[v-audio]      # librosa audio analysis

Development:

pip install ayase[dev]          # pytest, black, ruff, mypy
pip install ayase[all]          # Everything including dev + TUI

See MODELS.md for the complete inventory of all pretrained weights used by every module. Models are downloaded and cached automatically on first use via HuggingFace Hub, Torch Hub, and PyIQA.

Metrics

Input key: image/video = either, +ref = needs reference_path, +caption = needs caption text, audio = audio stream, batch = dataset-level.

#	Metric	Module	Input	Description
1	blur_score	basic_quality	image/video	Laplacian variance
2	compression_score	basic_quality	image/video	Compression quality (0-100)
3	aesthetic_score	aesthetic	image/video	0-10, from aesthetic predictor
4	clip_score	semantic_alignment	image/video +caption	Caption-image alignment
5	brightness	basic_quality	image/video	Mean brightness (0-255)
6	contrast	basic_quality	image/video	Contrast level (0-100)
7	saturation	basic_quality	image/video	Color saturation (0-100)
8	fast_vqa_score	fast_vqa	image/video	0-100
9	motion_score	motion	image/video	Scene motion intensity
10	camera_motion_score	stabilized_motion	image/video	Camera motion intensity
11	temporal_consistency	clip_temporal	image/video	Frame consistency
12	technical_score	basic_quality	image/video	Composite technical score
13	noise_score	basic_quality	image/video	Noise level (0-100, lower=cleaner)
14	artifacts_score	basic_quality	image/video	Artifact severity (0-100, lower=better)
15	watermark_probability	watermark_classifier	image/video	0-1
16	ocr_area_ratio	text_detection	image	0-1
17	face_count	face_fidelity	image/video	Integer face count
18	nsfw_score	nsfw	image	0-1, likelihood of being NSFW
19	audio_quality_score	audio	audio	0-100
20	perceptual_hash	dedup	image/video	dHash or similar
21	depth_score	depth_map_quality	image/video	Scene depth complexity
22	auto_caption	captioning	image/video +caption	Generated caption
23	vqa_a_score	aesthetic	image/video	VQA aesthetic sub-score
24	vqa_t_score	basic_quality	image/video	VQA technical sub-score
25	is_score	inception_score	image/video	Inception Score
26	sd_score	sd_reference	image/video +caption	SD-reference similarity (0-1)
27	gradient_detail	basic_quality	image/video	Sobel gradient detail (0-100)
28	blip_bleu	captioning	image/video +caption	BLIP caption BLEU score
29	detection_score	object_detection	image +caption	Object detection confidence
30	count_score	object_detection	image +caption	Object count accuracy
31	color_score	color_consistency	image/video +caption	Color consistency
32	celebrity_id_score	celebrity_id	image/video	Celebrity identity distance
33	identity_loss	identity_loss	image/video +ref	Face identity cosine distance (0-1, lower=better)
34	face_recognition_score	identity_loss	image/video +ref	Face identity cosine similarity (0-1, higher=better)
35	ocr_score	ocr_fidelity	image/video +caption	OCR confidence
36	ocr_fidelity	ocr_fidelity	image/video +caption	OCR text accuracy vs caption (0-100, higher=better)
37	i2v_clip	i2v_similarity	image/video +ref	CLIP image-video similarity (0-1)
38	i2v_dino	i2v_similarity	image/video +ref	DINOv2 image-video similarity (0-1)
39	i2v_lpips	i2v_similarity	image/video +ref	LPIPS image-video distance (0-1, lower=better)
40	i2v_quality	i2v_similarity	image/video +ref	Aggregated I2V quality (0-100)
41	action_score	action_recognition	image/video +caption	Caption-action fidelity (0-100)
42	action_confidence	action_recognition	image/video +caption	Top-1 action confidence (0-100)
43	flow_score	advanced_flow	image/video	Optical flow magnitude
44	motion_ac_score	motion_amplitude	image/video +caption	Motion amplitude
45	warping_error	temporal_flickering	image/video	Warping error
46	clip_temp	clip_temporal	image/video	CLIP temporal consistency
47	face_consistency	clip_temporal	image/video	Face identity temporal consistency
48	psnr	structural	image/video +ref	Peak Signal-to-Noise Ratio (dB, higher=better)
49	ssim	structural	image/video +ref	Structural Similarity (0-1, higher=better)
50	lpips	perceptual_fr	image/video +ref	Learned Perceptual distance (0-1, lower=better)
51	spectral_entropy	spectral_complexity	image/video	DINOv2 spectral entropy
52	spectral_rank	spectral_complexity	image/video	DINOv2 effective rank ratio
53	fvd	fvd	batch	Frechet Video Distance
54	kvd	fvd	batch	Kernel Video Distance
55	fvmd	fvmd	batch	Frechet Video Motion Distance
56	vmaf	vmaf	image/video +ref	VMAF (0-100, higher=better)
57	ms_ssim	ms_ssim	image/video +ref	Multi-Scale SSIM (0-1)
58	vif	vif	image +ref	Visual Information Fidelity
59	niqe	niqe	image	Natural Image Quality Evaluator (lower=better)
60	t2v_score	t2v_score	image/video +caption	T2VScore alignment + quality
61	t2v_alignment	t2v_score	image/video +caption	Text-video semantic alignment
62	t2v_quality	t2v_score	image/video +caption	Video production quality
63	dynamics_range	dynamics_range	image/video	Extent of content variation
64	dynamics_controllability	dynamics_controllability	image/video +caption	Motion control fidelity
65	scene_complexity	scene_complexity	image/video	Visual complexity score
66	compression_artifacts	compression_artifacts	image/video	Artifact severity (0-100)
67	naturalness_score	naturalness	image	Natural scene statistics
68	video_memorability	video_memorability	image/video	Memorability prediction
69	usability_rate	usability_rate	image	Percentage of usable frames
70	confidence_score	llm_descriptive_qa	image/video	Prediction confidence
71	human_preference_score	llm_advisor	image/video	Human preference (0-1, higher=better)
72	engagement_score	llm_advisor	image/video	Engagement prediction (0-1, higher=better)
73	usability_score	usability_rate	image/video	Usability estimate (0-100, higher=better)
74	hdr_quality	hdr_sdr_vqa	image/video	HDR-specific quality
75	sdr_quality	hdr_sdr_vqa	image/video	SDR-specific quality
76	temporal_information	ti_si	image/video	ITU-T P.910 TI (higher=more motion)
77	spatial_information	ti_si	image/video	ITU-T P.910 SI (higher=more detail)
78	flicker_score	flicker_detection	image/video	Flicker severity 0-100 (lower=better)
79	judder_score	judder_stutter	image/video	Judder severity 0-100 (lower=better)
80	stutter_score	judder_stutter	image/video	Duplicate/dropped frames 0-100 (lower=better)
81	dists	dists	image/video +ref	DISTS (0-1, lower=more similar)
82	fsim	perceptual_fr	image/video +ref	Feature Similarity Index (0-1, higher=better)
83	gmsd	perceptual_fr	image/video +ref	Gradient Magnitude Similarity Deviation (lower=better)
84	vsi_score	perceptual_fr	image/video +ref	Visual Saliency Index (0-1, higher=better)
85	brisque	brisque	image/video	BRISQUE (0-100, lower=better)
86	pesq_score	audio_pesq	audio +ref	PESQ (-0.5 to 4.5, higher=better)
87	av_sync_offset	av_sync	audio	Audio-video sync offset in ms
88	dover_score	dover	image/video	DOVER overall (higher=better)
89	dover_technical	dover	image/video	DOVER technical quality
90	dover_aesthetic	dover	image/video	DOVER aesthetic quality
91	topiq_score	topiq	image/video	TOPIQ transformer-based IQA (higher=better)
92	liqe_score	liqe	image/video	LIQE lightweight IQA (higher=better)
93	clip_iqa_score	clip_iqa	image/video	CLIP-IQA semantic quality (0-1, higher=better)
94	color_grading_score	production_quality	image/video	Colour consistency 0-100
95	white_balance_score	production_quality	image/video	White balance accuracy 0-100
96	exposure_consistency	production_quality	image/video	Exposure stability 0-100
97	focus_quality	production_quality	image/video	Sharpness/focus quality 0-100
98	banding_severity	production_quality	image/video	Colour banding 0-100 (lower=better)
99	qalign_quality	q_align	image/video	Q-Align technical quality (1-5, higher=better)
100	qalign_aesthetic	q_align	image/video	Q-Align aesthetic quality (1-5, higher=better)
101	face_quality_score	face_fidelity	image/video	Composite face quality 0-100 (higher=better)
102	face_identity_consistency	face_landmark_quality	image/video	Temporal face identity stability (0-1)
103	face_expression_smoothness	face_landmark_quality	image/video	Expression smoothness 0-100 (higher=better)
104	face_landmark_jitter	face_landmark_quality	image/video	Landmark jitter 0-100 (lower=better)
105	object_permanence_score	object_permanence	image/video	Object tracking consistency 0-100 (higher=better)
106	semantic_consistency	semantic_segmentation_consistency	image/video	Segmentation temporal IoU 0-1 (higher=better)
107	depth_temporal_consistency	depth_consistency	image/video	Depth map correlation 0-1 (higher=better)
108	subject_consistency	subject_consistency	image/video	Subject identity consistency (0-1, higher=better)
109	background_consistency	background_consistency	image/video	Background stability (0-1, higher=better)
110	motion_smoothness	motion_smoothness	image/video	Motion smoothness (0-1, higher=better)
111	codec_efficiency	codec_specific_quality	image/video	Quality-per-bit efficiency 0-100 (higher=better)
112	gop_quality	codec_specific_quality	image/video	GOP structure appropriateness 0-100 (higher=better)
113	codec_artifacts	codec_specific_quality	image/video	Block artifact severity 0-100 (lower=better)
114	deepfake_probability	deepfake_detection	image/video	Synthetic/deepfake likelihood 0-1
115	ai_generated_probability	watermark_classifier	image/video	AI-generated content likelihood 0-1
116	harmful_content_score	harmful_content	image/video	Violence/gore severity 0-1
117	watermark_strength	watermark_robustness	image/video	Invisible watermark strength 0-1
118	bias_score	bias_detection	image/video	Representation imbalance indicator 0-1
119	depth_quality	depth_map_quality	image/video	Depth map quality 0-100 (higher=better)
120	multiview_consistency	multi_view_consistency	image/video	Geometric consistency 0-1 (higher=better)
121	stereo_comfort_score	stereoscopic_quality	image/video	Stereo viewing comfort 0-100 (higher=better)
122	musiq_score	musiq	image/video	MUSIQ multi-scale IQA (higher=better)
123	contrique_score	contrique	image/video	CONTRIQUE contrastive IQA (higher=better)
124	mdtvsfa_score	mdtvsfa	image/video	MDTVSFA fragment-based VQA (higher=better)
125	nima_score	nima	image/video	NIMA aesthetic+technical (1-10, higher=better)
126	dbcnn_score	dbcnn	image/video	DBCNN bilinear CNN (higher=better)
127	wadiqam_score	wadiqam	image/video	WaDIQaM-NR (higher=better)
128	maniqa_score	maniqa	image/video	MANIQA multi-attention (higher=better)
129	arniqa_score	arniqa	image/video	ARNIQA (higher=better)
130	qualiclip_score	qualiclip	image/video	QualiCLIP opinion-unaware (higher=better)
131	pieapp	pieapp	image/video +ref	PieAPP pairwise preference (lower=better)
132	cw_ssim	cw_ssim	image/video +ref	Complex Wavelet SSIM (0-1, higher=better)
133	nlpd	nlpd	image/video +ref	Normalized Laplacian Pyramid Distance (lower=better)
134	mad	mad	image/video +ref	Most Apparent Distortion (lower=better)
135	ahiq	ahiq	image/video +ref	Attention Hybrid IQA (higher=better)
136	topiq_fr	topiq_fr	image/video +ref	TOPIQ full-reference (higher=better)
137	dreamsim	dreamsim	image/video +ref	DreamSim CLIP+DINO similarity (lower=more similar)
138	cover_score	cover	image/video	COVER overall (higher=better)
139	cover_technical	cover	image/video	COVER technical branch
140	cover_aesthetic	cover	image/video	COVER aesthetic branch
141	cover_semantic	cover	image/video	COVER semantic branch
142	vqa_score_alignment	vqa_score	image/video +caption	VQAScore text-visual alignment (0-1, higher=better)
143	videoscore_visual	videoscore	image/video +caption	VideoScore visual quality
144	videoscore_temporal	videoscore	image/video +caption	VideoScore temporal consistency
145	videoscore_dynamic	videoscore	image/video +caption	VideoScore dynamic degree
146	videoscore_alignment	videoscore	image/video +caption	VideoScore text-video alignment
147	videoscore_factual	videoscore	image/video +caption	VideoScore factual consistency
148	face_iqa_score	face_iqa	image/video	TOPIQ-face face quality (higher=better)
149	scene_stability	scene_detection	image/video	Scene stability (0-1, 1=single continuous scene)
150	avg_scene_duration	scene_detection	image/video	Average scene duration in seconds
151	raft_motion_score	raft_motion	image/video	RAFT optical flow magnitude
152	ram_tags	ram_tagging	image/video	Comma-separated RAM auto-tags
153	depth_anything_score	depth_anything	image/video	Monocular depth quality
154	depth_anything_consistency	depth_anything	image/video	Temporal depth consistency
155	video_type	video_type_classifier	image/video	Content type (real, animated, game, etc.)
156	video_type_confidence	video_type_classifier	image/video	Classification confidence
157	jedi	jedi_metric	batch	Per-sample V-JEPA feature (batch-computed)
158	trajan_score	trajan	image/video	Point track motion consistency
159	promptiqa_score	promptiqa	image/video	Few-shot NR-IQA score
160	aigv_static	aigv_assessor	image/video +caption	AI video static quality
161	aigv_temporal	aigv_assessor	image/video +caption	AI video temporal smoothness
162	aigv_dynamic	aigv_assessor	image/video +caption	AI video dynamic degree
163	aigv_alignment	aigv_assessor	image/video +caption	AI video text-video alignment
164	video_reward_score	video_reward	image/video +caption	Human preference reward
165	tifa_score	tifa	image/video +caption	VQA faithfulness (0-1, higher=better)
166	text_overlay_score	text_detection	image	Text overlay severity (0-1)
167	ptlflow_motion_score	ptlflow_motion	image/video	ptlflow optical flow magnitude
168	qcn_score	qcn	image/video	Geometric order blind IQA
169	finevq_score	finevq	image/video	FineVQ fine-grained UGC VQA (CVPR 2025)
170	kvq_score	kvq	image/video	KVQ saliency-guided VQA (CVPR 2025)
171	rqvqa_score	rqvqa	image/video	RQ-VQA rich quality-aware (CVPR 2024 winner)
172	videval_score	videval	image/video	VIDEVAL 60-feature fusion NR-VQA
173	tlvqm_score	tlvqm	image/video	TLVQM two-level video quality
174	funque_score	funque	image/video +ref	FUNQUE unified quality (beats VMAF)
175	movie_score	movie	image/video +ref	MOVIE motion trajectory FR
176	st_greed_score	st_greed	image/video +ref	ST-GREED variable frame rate FR
177	c3dvqa_score	c3dvqa	image/video	C3DVQA 3D CNN spatiotemporal FR
178	flolpips	flolpips	image/video	FloLPIPS flow-based perceptual FR
179	hdr_vqm	hdr_vqm	image/video +ref	HDR-VQM HDR video quality FR
180	st_lpips	st_lpips	image/video	ST-LPIPS spatiotemporal perceptual FR
181	camera_jitter_score	camera_jitter	image/video	Camera stability (0-1, 1=stable)
182	jump_cut_score	jump_cut	image/video	Jump cut absence (0-1, 1=no cuts)
183	playback_speed_score	playback_speed	image/video	Normal speed (1.0=normal)
184	flow_coherence	flow_coherence	image/video	Bidirectional optical flow consistency (0-1)
185	letterbox_ratio	letterbox	image/video	Border/letterbox fraction (0-1, 0=no borders)
186	tonal_dynamic_range	tonal_dynamic_range	image/video	Luminance histogram span (0-100)
187	vtss	vtss	image	Video Training Suitability Score (0-1)
188	cnniqa_score	cnniqa	image/video	CNNIQA blind CNN IQA
189	hyperiqa_score	hyperiqa	image/video	HyperIQA adaptive NR-IQA
190	paq2piq_score	paq2piq	image/video	PaQ-2-PiQ patch-to-picture (CVPR 2020)
191	tres_score	tres	image/video	TReS transformer IQA (WACV 2022)
192	unique_score	unique	image/video	UNIQUE unified NR-IQA (TIP 2021)
193	laion_aesthetic	laion_aesthetic	image/video	LAION Aesthetics V2 (0-10)
194	compare2score	compare2score	image/video	Compare2Score comparison-based
195	afine_score	afine	image/video	A-FINE fidelity-naturalness (CVPR 2025)
196	ckdn_score	ckdn	image +ref	CKDN knowledge distillation FR
197	deepwsd_score	deepwsd	image +ref	DeepWSD Wasserstein distance FR
198	ssimulacra2	ssimulacra2	image/video +ref	SSIMULACRA 2 (0-100, lower=better, JPEG XL standard)
199	butteraugli	butteraugli	image/video +ref	Butteraugli perceptual distance (lower=better)
200	flip_score	flip	image/video +ref	NVIDIA FLIP perceptual metric (0-1, lower=better)
201	vmaf_neg	vmaf_neg	image/video +ref	VMAF NEG (no enhancement gain, 0-100, higher=better)
202	ilniqe	ilniqe	image/video	IL-NIQE Integrated Local NIQE (lower=better)
203	nrqm	nrqm	image/video	NRQM No-Reference Quality Metric (higher=better)
204	pi_score	pi	image/video	Perceptual Index (PIRM challenge, lower=better)
205	piqe	piqe	image/video	PIQE perception-based NR-IQA (lower=better)
206	maclip_score	maclip	image/video	MACLIP multi-attribute CLIP NR-IQA (higher=better)
207	dmm	dmm	image/video +ref	DMM Detail Model Metric FR (higher=better)
208	wadiqam_fr	wadiqam_fr	image/video +ref	WaDIQaM full-reference (higher=better)
209	ssimc	ssimc	image/video +ref	Complex Wavelet SSIM-C FR (higher=better)
210	cambi	cambi	image/video	CAMBI banding index (0-24, lower=better)
211	xpsnr	xpsnr	image +ref	XPSNR perceptual PSNR (dB, higher=better)
212	vmaf_phone	vmaf_phone	image/video +ref	VMAF phone model (0-100, higher=better)
213	vmaf_4k	vmaf_4k	image/video +ref	VMAF 4K model (0-100, higher=better)
214	visqol	visqol	audio +ref	ViSQOL audio quality MOS (1-5, higher=better)
215	dnsmos_overall	dnsmos	audio	DNSMOS overall MOS (1-5, higher=better)
216	dnsmos_sig	dnsmos	audio	DNSMOS signal quality (1-5, higher=better)
217	dnsmos_bak	dnsmos	audio	DNSMOS background quality (1-5, higher=better)
218	pu_psnr	pu_metrics	image/video +ref	PU-PSNR perceptually uniform HDR (dB, higher=better)
219	pu_ssim	pu_metrics	image/video +ref	PU-SSIM perceptually uniform HDR (0-1, higher=better)
220	max_fall	hdr_metadata	image/video	MaxFALL frame average light level (nits)
221	max_cll	hdr_metadata	image/video	MaxCLL content light level (nits)
222	hdr_vdp	hdr_vdp	image/video +ref	HDR-VDP visual difference predictor (higher=better)
223	delta_ictcp	delta_ictcp	image/video +ref	Delta ICtCp HDR color difference (lower=better)
224	ciede2000	ciede2000	image/video +ref	CIEDE2000 perceptual color difference (lower=better)
225	psnr_hvs	psnr_hvs	image/video +ref	PSNR-HVS perceptually weighted (dB, higher=better)
226	psnr_hvs_m	psnr_hvs	image +ref	PSNR-HVS-M with masking (dB, higher=better)
227	cgvqm	cgvqm	image/video +ref	CGVQM gaming quality (higher=better)
228	strred	strred	image +ref	STRRED reduced-reference temporal (lower=better)
229	p1203_mos	p1203	audio	ITU-T P.1203 streaming QoE MOS (1-5)
230	nemo_quality_score	nemo_curator	image +caption	Caption text quality (0-1)
231	nemo_quality_label	nemo_curator	image +caption	Quality label (Low/Medium/High)

Quick Start

CLI

# Scan a dataset and get a report
ayase scan ./my_dataset

# Scan with specific modules
ayase scan ./my_dataset --modules metadata,basic_quality,motion

# List all available modules
ayase modules list

# Check which modules can be loaded (dependencies installed)
ayase modules check

# Filter dataset by quality score
ayase filter ./my_dataset --min-score 70 --output ./filtered

Python API (recommended)

from ayase import AyasePipeline

ayase = AyasePipeline(modules=["basic"])
results = ayase.run("./my_dataset")

for path, sample in results.items():
    if sample.quality_metrics:
        print(f"{sample.path.name}: technical={sample.quality_metrics.technical_score}")

print(f"Total: {ayase.stats.total_samples}, Valid: {ayase.stats.valid_samples}")
ayase.export("report.json")

AyasePipeline accepts three ways to configure modules:

# By module names
ayase = AyasePipeline(modules=["metadata", "basic_quality", "motion"])

# By profile dict
ayase = AyasePipeline(profile={
    "name": "my_check",
    "modules": ["basic", "aesthetic"],
    "module_config": {
        "aesthetic": {"model_name": "openai/clip-vit-large-patch14"},
    },
})

# By profile file
ayase = AyasePipeline(profile="my_profile.toml")

# With custom config
from ayase.config import AyaseConfig
ayase = AyasePipeline(config=AyaseConfig(general={"parallel_jobs": 16}), modules=["basic"])

Low-level Pipeline API

import asyncio
from pathlib import Path
from ayase.pipeline import Pipeline, ModuleRegistry
from ayase.scanner import scan_dataset

ModuleRegistry.discover_modules()
module_names = ["metadata", "basic_quality", "semantic_alignment"]
modules = [ModuleRegistry.get_module(n)() for n in module_names]

pipeline = Pipeline(modules)
pipeline.start()

samples = scan_dataset(Path("./my_dataset"), recursive=True)
for sample in samples:
    processed = asyncio.run(pipeline.process_sample(sample))

pipeline.stop()
pipeline.export_report("report.json", format="json")

Profile-based pipelines

from ayase import load_profile, instantiate_profile_modules

profile = load_profile("my_profile.toml")
modules = instantiate_profile_modules(profile)
# modules is a list of PipelineModule instances ready for Pipeline()

Configuration

Create ayase.toml in your project root:

[general]
parallel_jobs = 8
cache_enabled = true

[quality]
enable_blur_detection = true
blur_threshold = 100.0

[pipeline]
dataset_path = "./my_dataset"
modules = ["metadata", "basic_quality", "motion"]
plugin_folders = ["plugins"]

[output]
default_format = "markdown"
artifacts_dir = "reports"
artifacts_format = "json"

[filter]
default_mode = "list"
min_score_threshold = 60

Ayase looks for config in: ./ayase.toml -> ~/.config/ayase/config.toml -> built-in defaults.

Writing Plugins

Create a .py file in your plugins/ folder:

from ayase.models import Sample, ValidationIssue, ValidationSeverity
from ayase.pipeline import PipelineModule

class MyCustomCheck(PipelineModule):
    name = "my_check"
    description = "Custom quality check"
    default_config = {"threshold": 0.5}

    def process(self, sample: Sample) -> Sample:
        # Your logic here
        if some_score < self.config["threshold"]:
            sample.validation_issues.append(
                ValidationIssue(
                    severity=ValidationSeverity.WARNING,
                    message="Quality below threshold",
                )
            )
        return sample

Then run:

ayase scan ./data --modules metadata,my_check

Development

git clone <repo-url>
cd ayase
pip install -e ".[dev]"

# Run tests
pytest

# Lint and format
ruff check src/ tests/
black src/ tests/

# Type check
mypy src/ayase

License

MIT -- see LICENSE.